Sample Survey

Dr. Tauqueer Ahmad
Head
Phone (O).: 011-25841475
tauqueer@iasri.res.in

About Us

Division of Sample Surveys has developed various sampling methodologies for estimation of important parameters in agriculture. The sampling methodologies developed in the division are being used in the entire country as well as some of the developing countries. Development of suitable sample survey methodologies for estimation of various parameters in crops, livestock, fisheries production and allied fields have always been one of the most important activities of the division from the very beginning. The division was instrumental in the development of sample survey methodology for crop production estimation through crop cutting approach which formed a sound objective method of estimating crop production in the country, estimation of livestock numbers, products and attendant practices, the extent of cultivation and production of fruits and vegetables, estimation of plantation crops like areca nut, coconut, cashew nut, estimation of fish catch both from marine and inland resources, estimation of cost of production of crops as well as livestock products, evaluation studies such as assessment of development programmes like IADP, HYVP, dairy improvement programmes, etc. were other important contributions of the Institute. Most of the methodologies evolved by the division are being adopted for estimation of respective commodities by the concerned departments in the various states and this work is being coordinated by the Directorate of Economics and Statistics and other concerned Wings of the Ministry of Agriculture, Government of India. Some of these methodologies have been internationally used

The division has made significant contributions in many areas of  basic research in sampling techniques such as successive sampling, systematic sampling, cluster sampling, component sampling, sampling with varying probabilities, controlled selection, non-sampling errors, various methods of estimation such as ratio and regression methods, analysis of survey data, etc. The use of combinatorics (or experimental designs) in sample surveys has also led to some useful contributions, particularly for variance estimation in large scale complex surveys and varying probability selection procedures. Useful contributions have also been made in the categorical data analysis and variance estimation using re-sampling techniques like Jackknife technique and Balanced Repeated Replications. Studies on small area estimation for local-level planning and regression analysis of survey data have also been taken up.

Besides this the division has the expertise to provide Consultancy services in Sample surveys for Estimation of parameters of Interest in Crop, Livestock, Fisheries, Horticultural Crops, Vegetables and Allied fields, estimation of Area and Production, Cost of Production Studies, Assessment and Evaluation Studies, Post Production Studies, and Application of Remote Sensing and GIS in Agricultural surveys.

Mandate

  • To evolve sample survey techniques for estimation of various parameters of interest relating to crops, livestock, fishery, forestry and allied fields and to develop techniques for analysis of survey data

Thrust Areas

  • Application of Remote Sensing and Geographical Information System
  • Small Area Estimation
  • Area & Production Estimation
  • Cost of Production Studies
  • Assessment and Evaluation Studies
  • Harvest and Post Harvest Losses
  • Analysis of Complex Surveys

Main Activities

  • Research
  • Teaching
  • Research Guidance
  • Training
  • Advisory & Consultancy

Ongoing Projects:

Institute Funded:

Sl. NoTitle of the ProjectProject Leader*
and Associates
1Assessment of post harvest losses in fruits and vegetables and strategies for their reduction in Andaman and Nicobar IslandsPrachi Misra Sahoo*
Tauqueer Ahmad

2Two step calibration for estimation of finite population total under two-stage sampling designPradip Basak*
Kaustav Aditya
Hukum Chandra
Ajit
3Construction of composite index under complex surveysDeepak Singh
Pradip Basak
Raju Kumar (w.e.f. 05.12.2018)
4Detection of outliers in presence of masking and imputation of data when auxiliary variables are available in sample surveys.Raju Kumar
Ankur Biswas
Lal Mohan Bhar
Deepak Singh

External Funded

Sl. NoTitle of the ProjectFunding AgencyProject Leader*
and Associates
1.       Pilot study for developing state level estimates of crop area and production on the basis of sample sizes recommended by professor Vaidyanthan Committee Report

Directorate of Economics & Statistics (DES), Department of Agriculture, Cooperation and Farmers Welfare, Ministry of Agriculture and Farmers Welfare, Govt. of IndiaKaustav Aditya*
UC Sud(till 31.07.2017)
Hukum Chandra
A K Gupta(till 31.07.2016)
Ankur Biswas
Vandita Kumari
Raju Kumar (till May 2017)
Anshu Bhardwaj
Anil Kumar
Ajit
Pradip Basak
(since 13.09.2017)
2.       Investigation of Causes of Divergence between Official and Trade Estimates of Jute Production. Directorate of Economics & Statistics (DES), Department of Agriculture, Cooperation and Farmers Welfare, Ministry of Agriculture and Farmers Welfare, Govt. of IndiaPrachi Misra Sahoo*
UC Sud(till 31.07.2017)
Tauqueer Ahmad
Kaustav Aditya
Ankur Biswas

3.       Integrated Sampling Methodology for Crop Yield Estimation using Remote Sensing, Field Surveys and Weather Parameters for Crop Insurance.Department of Agriculture, Cooperation and Farmers Welfare, Ministry of Agriculture and Farmers Welfare, Govt. of IndiaTauqueer Ahmad*
Prachi Misra Sahoo
Anil Rai
Hukum Chandra
Ankur Biswas
4.Integrated Sample Survey Solution for major livestock products. Animal Husbandry Statistics Division, Department of Animal Husbandry & Dairying, Ministry of Fisheries, Animal Husbandry & Dairying, Government of India.Prachi Misra Sahoo*
Tauqueer Ahmad
Ankur Biswas
Pradip Basak
Raju Kumar
Anil Rai
S B Lal
5.Energy Audit Survey of All India Coordinated Research Project on Energy in Agriculture & Agro-based Industries: Sampling Design and Analysis. ICAR-All India Coordinated Research Project on Energy in Agriculture & Agro-based IndustriesHukum Chandra*
Pradip Basak
Ajit
6.Study to Estimate the Sub-State Level Estimate of Socio-Economic Indicators of Uttar Pradesh by Using Small Area Estimation Techniques Government of Uttar PradeshHukum Chandra*
Pradip Basak
Kaustav Aditya
7.Feasibility Study for Developing Renewable Energy Systems for Tea Plantations in Assam ICAR Extramural Fund (in collaboration with Indian Institute of Technology, Delhi (IITD) under Research collaboration between ICAR and IITD)Hukum Chandra*
Pradip Basak
Vandita Kumari

Consultancy Projects

Sl. NoTitle of the ProjectFunding AgencyProject Leader*
and Associates
1.Evaluation of Agriculture Census Scheme Department of Agriculture, Cooperation & Farmers Welfare, Ministry of Agriculture & Farmers Welfare, Govt. of IndiaHukum Chandra*
Kaustav Aditya
Pradip Basak
Vandita Kumari

Completed Projects:

Institute Funded:

Sl. NoTitle of the ProjectProject Leader*
and Associates
1.       Survey methodology to study economics of keeping goatsR L Rustogi*, S C Agarwal, Shivtar Singh
2.       Statistical modeling for projection of bovine populations and prediction of milk availabilityS N Arya*, S C Aggrawal, H P Singh
3.       Pilot sample survey for estimation of yield of pepper and study of cultivation practices using successive samplingS SShastri*, V K Jain, P M Ramesan
4.       Pilot sample survey for estimating the area under waste-landS S Gupta*, P C Mehrotra,
5.       Chi-square tests in in survey dataAnil Rai*, A K Srivastava, H C Gupta
6.       Pilot sample survey to study the economics of Angora rabbitsK P S Nirman*, Shivtar Singh, BhagwanDass
7.       Pilot sample survey for evolving a sampling methodology for estimation of area and yield of cultivated fodder crops other than berseem and jowar crop, cost of production and cultivation practices thereofAnandPrakash*, B C Saxena, K Ktyagi
8.       Sample survey for estimation of cashewnut and cashew apple yield and study of its cultivation practicesS SShastri*, V K Jain, P M Ramesan
9.       Sample survey for study of constraints in transfer of new agricultural technology under field conditionsP C Mehrotra*, S S Gupta, N K Ohri, G S Bassi, R C Gola, S SShastri, M S Narang
10.   Studies on feed in take by bovines through stall feeding and grazingB C Saxena*, K Ktyagi
11.   Small area estimation of milk productionD K Bhatia*, S N Arya, H C Gupta
12.   Estimation of regression coefficients from sample survey dataU C Sud*, Anil Rai, I C Sethi, V P N Singh
13.   Development of database relating to basic and current agricultural and allied statistics over time and spaceN K Ohri*, Bal B P S Goel, M S Narang
14.   An analysis of yield gap for buffaloes milkSatya Pal*, R M Sood, T Rai
15.   To study the effect of various input components on the yield of important vegetable cropsA K Gupta*
16.   A study of variance estimation in complex surveysV P N Singh*, Anil Rai, V K Jain
17.   Use of remote sensing technology in crop yield estimation surveysRandhir Singh*, R C Goyal
18.   Study for estimation of area and production of important vegetable crops on the basis of partial harvestA K Srivastava*, D L Ahuja, D C Mathur, K Chugh
19.   Sample Survey to evolve methodology for estimation of fish catch from rivers or streams specially of the hilly areasH V L Bathla*, K KKher, A K Gupta
20.   Estimation of flow and changes in dynamic populationJagbir Singh*
21.   Pilot sample survey to develop a sampling methodology for estimation of poultry meat productionMahender Singh*
22.   Pilot Sample Survey for estimating the area and yield rates of ginger and potato in hilly areasM S Narang*, S S Gupta, R C Gola
23.   Crop yield estimation of smaller area level using farmers' estimates (a small study taken in district Karnal)U C Sud*, D C Mathur, A K Srivastava, H V L Bathla, G K Jha
24.   Development of GIS based technique for identification of potential agro-forestry areaTauqueerAhamed*, Randhir Singh, Anil Rai
25.   Pilot study to develop sampling methodology for estimation of production of mushroom cropA K Gupta*, U C Sud, D C Mathur
26.   Small Area Estimation for Zero-Inflated DataHukum Chandra*, H V L Bathla, U C Sud
27.   Spatial Non-stationarity in Small Area Estimation under Area Level ModelHukum Chandra*, U C Sud, YogitaGharde(Upto 31-3-2012)
28.   Study to develop methodology for crop acreage estimation under cloud cover in the satellite imageriesPrachiMisraSahoo*, Tauqueer Ahmad, K N Singh, A K Gupta
29.   Study of Sample Sizes for Estimation of Area and Production of Food Grain CropsK KTyagi*, A K Gupta, V K Jain, Kaustav Aditya
30.   A study on calibration estimators of finite population total for two stage sampling designKaustav Aditya*, U C Sud, Hukum Chandra, V K Jain
31.   Small Area Estimation for Skewed DataHukum Chandra*, U C Sud, Kaustav Aditya
32.   Farm power machinery use protocol and management for sustainable crop productionTauqueer Ahmad* , From :Ag. Engg., IARI:Indra Mani, Dipankar De, M S Kalra, J K Singh, Adrash Kumar, P K Sahoo, P K Sharma, Alka Singh
33.   Calibration estimators under two stage sampling design when study variable is inversely related to auxiliary variableAnkurBiswas*, Kaustav Aditya, U C Sud
34.A study on Calibration Estimators under Adaptive Cluster SamplingAnkur Biswas* (w.e.f. 04.06.2017)
Raju Kumar* (till 03.06.2017)
Deepak Singh
Pradip Basak (w.e.f. 26.09.2017)

Completed Projects

Externally Funded:

Sl. NoTitle of the ProjectFunding AgencyProject Leader* and Associates
1.       Use of remote sensing satellite data in crop surveysA.P. Cess fundingRandhir Singh*, R C Goyal
2.       Sampling procedure for selection of representative samples of fertiliser from shipsA.P. Cess fundingU C Sud*, H V L Bathla, Anil Rai
3.       Study of land use statistics through integrated modelling using Geographic Information SystemA.P. Cess fundingAnil Rai*, A K Srivastava, Randhir Singh, V K Jain
4.       A pilot study on cost of production of Coconut in KeralaCoconut Development BoardU C Sud*, H V L Bathla, Jagbir Singh, D C Mathur, K KKher, G K Jha, K Murlidharan (From CPCRI)
5.       Assessment of harvest and post-harvest lossesMission Mode Project under NATPH V L Bathla*, Anil Rai, R S Khatri, Jagbir Singh, Tauqueer Ahmad, G K Jha, Vipin K Dubey
6.       Crop yield estimation at small area level using farmers' estimatesCentral Statistical Organisation, Ministry of Statistics and Programme Implementation, New Delhi U C Sud*, D C Mathur, G K Jha, S C Sethi, R M Bhasin
7.       Sample survey to develop sampling methodology for estimation of area, production and productivity of important flowers on the basis of market arrivalsCentral Statistical Organisation, Ministry of Statistics and Programme Implementation, New DelhiA K Gupta*, V K Jain, M S Narang, K KTyagi, U C Sud
8.       A study relating to formulating long term mechanisation strategy for each agro- climatic zone/stateDepartment of Agriculture and Cooperation, Ministry of  AgricultureK KTyagi*, H V L Bathla, M S Narang, Satya Pal, R M Sood, BhagwanDass, S C Agarwal, A K Gupta, K KKher, D C Mathur, Man Singh
9.       Estimation of wool production- emerging data needs and a methodological reappraisalA. P. Cess fundingR S Khatri*, J P Goyal, J Jayasankar, V Geethalakshmi (CSWRI, Avikanagar)
10.   Study for assessment of survey capabilities of private sectorCSO, MOS & PI, GOI, New DelhiS D Sharma*, U C Sud, H V L Bathla, R C Goyal, M S Narag, D C Mathur, A K Gupta, Satyapal, V K Jain, BhagwanDass, AlkaArora
11.   Pilot study to develop an alternative methodology for estimation of area and production of horticultural cropsCSO, MOS & PI, GOI, New DelhiTauqueer Ahmad*, H V L Bathla, Anil Rai, D C Mathur, R M Sood
12.   Developing Remote sensing methodology for collecting agricultural statistics in MeghalayaSpace Applications Centre, ISRO, Dept. of Space, GoIPrachiMisraSahoo*, Anil Rai, Randhir Singh
13.   Pilot study on small area crop estimation approach for crop yield estimates at the Gram Panchayat level (SACEM) -Ministry of AgricultureU C Sud*, H V L Bathla, R S Khatri, V K Mahajan, D C Mathur, Hukum Chandra
14.   Study to investigate the causes of variation between official and trade estimates of cotton production DES, MOA, GOI, New DelhiTauqueer Ahmad*, H V L Bathla, Anil Rai, PrachiMisraSahoo, A K Gupta, V K Jain, D V Mhadgut (CIRCOT, Mumbai)
15.   Evaluation of Rationalization of Minor Irrigation Statistics (RMIS) SchemeMinistry of Water ResourcesV K Bhatia, U C Sud*, D C Mathur, Hukum Chandra, S B Lal
16.   Developing Remote Sensing based methodology for collection of agricultural statistics in North-East region. Space Applications Centre, ISRO, Dept. of Space, GoIPrachiMisraSahoo*, H V L Bathla, Anil Rai, Tauqueer Ahmad, Samir Farooqi
17.   Sampling Methodology for Estimation of Meat Production in MeghalayaDepartment of Animal Husbandry Dairying & Fisheries, Ministry of Agriculture, Govt. of IndiaHukum Chandra*, U C Sud, A K Gupta, D C Mathur
18.   National Initiative on Climate Resilient Agriculture (NICRA)-Agroforestry ComponentMinistry of Agriculture, Govt. of IndiaTauqueer Ahmad*, PrachiMisraSahoo
19.   On Small Area Inference Using Survey Weights Directorate of Weed Research, Jabalpur, Madhya PradeshHukum Chandra*, V K Jain, YogitaGharde (DWR, Jabalpur)
20.   Assessment of quantitative harvest and post harvest losses of major crops/ commodities in India Ministry of Food Processing Industries, Govt. of IndiaTauqueer Ahmad*, UC Sud, Anil Rai, PrachiMisraSahoo
21.   Pilot study for estimation of seed, feed and wastage ratios of major food grainsNational Accounts Division, Central Statistical Office, MOS&PI, Government of IndiaAK Gupta*, UC Sud, Hukum Chandra, Tauqueer Ahmad, Kaustav Aditya, PrachiMisraSahoo, AnkurBiswas
22.   Development of Innovative Approaches for Small Area Estimation of Crop Yield, Socio-economic and Food Insecurity Parameters ICAR’s Lal Bahadur Shastri Outstanding Young Scientist Award-2012Hukum Chandra*, Kaustav Aditya
23.Study to test the developed alternative methodology for estimation of area and production of horticultural crops. IASRI component of CHAMAN program under under MIDH

Dept. of Agriculture & Cooperation, Ministry of Agriculture, Govt. of IndiaTauqueer Ahmad*
U C Sud (till 31.07.2017)
Prachi Misra Sahoo
Kaustav Aditya
A K Gupta(till 31.07.2016)
Ankur Biswas Deepak Singh (w.e.f. 02.08.2016)

Consultancy Projects

Sl. NoTitle of the ProjectFunding
Agency
Project Leader*
and Associates
1.Determination of optimum sample size for crop yield estimation at the gram panchayat level

Ministry of Agriculture, Govt. of IndiaV K Bhatia
U C Sud*
V K Gupta
2.Evaluation of Agricultural Census Scheme

Department of Agriculture and Co-operation, Ministry of Agriculture, Govt. of IndiaU C Sud*
V K Bhatia
K K Tyagi
Tauqueer Ahmad
Hukum Chandra
3.Study to develop an alternative methodology for estimation of Cotton production

Directorate of Economics and Statistics (DES), Ministry of Agriculture, Govt. of IndiaTauqueer Ahmad*
V K Bhatia
U C Sud
Anil Rai
Prachi Misra Sahoo
4.Impact assessment of agroforestry model in Vaishali district of Bihar State

Institute of Forest Productivity (ICFRE), RanchiTauqueer Ahmad*
V K Bhatia
U C Sud
Anil Rai
Prachi Misra Sahoo
5.Research on improving methods for estimating crop area, yield and production under mixed, repeated and continuous cropping Global Strategy to Improve Agricultural and Rural Statistics hosted by the Food and Agriculture Organization of United NationsUC Sud*
Tauqueer Ahmad
Hukum Chandra
Prachi Misra Sahoo
Kaustav Aditya
Ankur Biswas
6.Pilot study on measurement of private food grains stock including estimation of on-farm post harvest losses under Input Survey of Agriculture Census in IndiaFAO IndiaTauqueer Ahmad*
U C Sud
Ankur Biswas
Man Singh
7.Testing and validation of alternative methodology developed by IASRI for estimation of area and production of horticultural crops in Madhya Pradesh State Madhya Pradesh State Govt.Tauqueer Ahmad*
U C Sud
Prachi Misra Sahoo
Anil Rai
Kaustav Aditya
Raju Kumar
8.Testing and validation of alternative methodology developed by IASRI for estimation of area and production of horticultural crops in Haryana State Haryana State Govt.Tauqueer Ahmad*
U C Sud
Prachi Misra Sahoo
Anil Rai
Ankur Biswas
Vandita Kumari
9.Study on developing Guidelines for estimating post harvest losses of horticultural crops, livestock products and fish and fish products” Food and Agriculture Organization of the United Nations (FAO), Rome, ItalyTauqueer Ahmad*
Anil Rai
A K Choubey (till 21.01.2018)
Prachi Misra Sahoo
Ankur Biswas
Man Singh
G M Pathak
10.Study on field testing of the developed guidelines on estimating post harvest losses of horticultural crops, livestock products and fish and fish products” Food and Agriculture Organization of the United Nations (FAO), Rome, ItalyTauqueer Ahmad*
Anil Rai
Prachi Misra Sahoo
Ankur Biswas
Kaustav Aditya
Man Singh

Agricultural Research Data Book (ARDB)

Agricultural research is a vital input for planned growth and sustainable development of agriculture in the country. Indian Council of Agricultural Research, being an apex scientific organization at national level, plays a crucial role in promoting and accelerating the use of science and technology programmes relating to agricultural research and education. It also provides assistance and support in demonstrating the use of new technologies in agriculture.

Information pertaining to agricultural research, education and related aspects available from different sources is scattered over various types of published and unpublished records. The Agricultural Research Data Book (ARDB) 2017 was published by the Division of Sample Surveys and released on 03 July, 2017 on the eve of Annual Day Function of the Institute. The ARDB 2017, which is Twentieth in the series is an attempt to put together main components/ indicators of such information and comprises of 170 tables organized into 10 sections namely, Natural Resources, Agricultural Inputs, Animal Husbandry, Dairying and Fisheries, Horticulture, Production and Productivity, Agricultural Engineering & Produce Management, Export & Import, India’s Position in World Agriculture, Investment in Agricultural Research & Education and Human Resources under National Agricultural Research System (NARS). Apart from updation of tables, twenty-two new tables have been added, which consist of state-wise data on area and production of 7 food grains including rice, wheat, jowar, bajra, maize, pulses, oilseeds; area and production of 5 fruit crops which are mango, banana, sweet orange, apple and papaya; area and production of 3 vegetable crops which are potato, tomato and onion; production and per capita availability of livestock products like milk, egg and production of meat and wool. For depicting state-wise data, thematic maps were prepared using Geographical Information System (GIS). The first ARDB was brought out in the year 1996. Subsequently, this was updated and brought out in the years 1997, 1998, 1999, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009 and 2011, 2012, 2013, 2014, 2015, 2016 (nineteenth edition).

Accomplishments

  1. Significant Research Achievements and Impact

The subject of sampling techniques helps in providing the methodology for obtaining precise estimates of parameters of interest. The division is involved in evolving suitable sample survey techniques for estimation of various parameters of interest relating to crops, livestock, fishery, forestry and allied fields.

  • Significant contributions have been made in theoretical aspects of sample surveys like successive sampling, systematic sampling, cluster sampling, sampling with varying probabilities, controlled selection, nonsampling errors, analysis of complex surveys, various methods of estimation such as ratio and regression methods of estimation and use of combinatorics in sample surveys.
  • The methodology for General Crop Estimation Surveys (GCES), cost of cultivation studies for principal food crops, cash crops and horticultural crops, Integrated Sample Surveys (ISS) for livestock products estimation, fruits and vegetable survey are being adopted throughout the country and many Asian and African countries.
  • Methodology based on small area estimation technique for National Agricultural Insurance Scheme, also called RashtriyaKrishiBimaYojana, suggested by IASRI has been pilot tested in the country.
  • The sample survey methodology for imported fertilizer quality assessment, estimation of fish catch from marine and inland resources, flower production estimation, area and production of horticultural crops estimation, etc. has been developed and passed on to the user agencies.
  • Integrated methodology for estimation of multiple crop area of different crops in North Eastern Hilly Regions using Remote Sensing data has been developed.
  • Sampling methodology for estimation of post harvest losses has been successfully adopted in AICRP on Post Harvest Technology for assessment of post harvest losses of crops/commodities.
  • Reappraisal of sampling methodologies, evaluation and impact assessment studies like studies to make an assessment of Integrated Area Development programmes, High Yielding Varieties programmes, Dairy Improvement programmes, Evaluation of cotton production estimation methodology etc. have been undertaken. Most of the methodologies developed are being adopted for estimation of respective commodities by the concerned state departments.
  • The Institute is regularly publishing the Agricultural Research Data Book since 1996. It contains information pertaining to agricultural research, education and other related aspects compiled from different sources.
  • For providing e-advisory and e-learning in sample surveys, initiated a Sample Survey Resources Server (http://js.iasri.res.in/ssrs/) which also provides calculator for sample size determination for population mean and population proportion among other material.

Methodologies developed and implemented:

  1. Developed a new sampling methodology for estimation of Cotton production using double sampling approach under stratified two stage sampling framework, which is efficient and very cost effective than the existing methodology in operation. This methodology is operationally more convenient and will reduce the workload of the field staff significantly which in turn will lead to significant reduction in Crop Cutting Experiments. After validation of the developed methodology in two states namely, Maharashtra and Andhra Pradesh, the developed methodology has been implemented in all the Cotton growing states of the country from 2015-2016 by Directorate of Economics and Statistics (DES), Ministry of Agriculture and Farmers Welfare, Govt. of India.
  2. Developed a new sampling methodology for estimation of area and production of horticultural crops which is efficient, simple, less time consuming and cost effective. Under this methodology, survey procedures have been simplified and sample size has been reduced significantly than the existing methodology in operation on pilot basis in 11 states till 2013-2014. The developed methodology is being validated in six states of the country namely, Maharashtra, Tamil Nadu, Andhra Pradesh, Himacal Pradesh, Haryana and Madhya Pradesh under CHAMAN Project (2014-2017). After validation of the developed methodology, the developed methodology will be implemented in all the states of the country from 2018-2019 by Division of Horticulture, Department of Agriculture, Cooperation and Farmers Welfare (DACFW), Ministry of Agriculture and Farmers Welfare, Govt. of India.
  3. Developed a suitable sampling methodology for estimation of quantitative harvest and post harvest losses of major crops/commodities in India by integrating enquiry and observation based techniques of data collection. This methodology was implemented for conducting a National level survey during 2012-2014 covering 120 selected districts of the country and reliable estimates of percentage loss for 45 crops/commodities at different stages/channels i.e. from production to consumption were obtained.  
  4. Developed a suitable methodology for finding out causes of variation between official and trade estimates of Cotton production by evaluating adoption and implementation of existing methodologies. The methodologies were evaluated by conducting a survey in five selected districts in each of the two major Cotton growing states namely, Maharashtra and Andhra Pradesh for official methodology and survey of two Ginning and Pressing mills in each of the five selected districts in each of the two states for trade methodology during 2008-2009.
  5. Developed sampling technique for conducting survey to study the socio-economic impact of agroforestry in Vaishali district of Bihar State. Keeping in view the outcome of the study e. the impact and adoption of agroforestry by farmers, the State Forest Department, Bihar has taken up the idea for replication in the entire State in next five years as mission. Bihar Govt. has launched this mission as Harit Mission.
  6. Developed an integrated sampling methodology for multiple crops acreage estimation based on Remote Sensing, GIS and ground survey in North-Eastern Hilly region. The developed sampling methodology for acreage estimation under paddy crop based on remote sensing, GIS and ground survey has been adopted in Meghalaya and Tripura states and is being implemented in all North-Eastern states of the country.
  7. Developed sampling methodology for estimating crop area, yield and production under mixed and continuous cropping which was tested and validated in three different countries namely, Indonesia from Asian Region, Rwanda from African Region and Jamaica from Caribbean Region during December 2015-April 2016. The developed sampling methodology is likely to be adopted globally specially in developing countries in future by Food and Agriculture Organization of United Nations.
  8. Developed a suitable sampling methodology aligned with existing Input Survey for estimation of private food grains stock and post harvest losses at farm level and established the feasibility of inclusion of developed questionnaire in the future Input Survey of Agriculture Census in India in order to estimate the food grains stock including post harvest loss at farm operations which will bridge the gap on post harvest information and private food grains stock in on-farm and off-farm domains of the supply chain.
  9. Method of sampling of imported fertilizers from ships/containers being followed as per the prescribed procedure in the Fertilizer Control Order (FCO), Govt. of India was studied and modified method of sampling has been suggested so that the sampling is done with reliability and it is practically feasible also. The modified method of sampling of imported fertilizers from ships/containers is adopted under Fertilizer Control Order (FCO), of India.
  10. Foreign Tours:
  • Tauqueer Ahmad visited FAO Headquarters, Rome, Italy as Expert by Food and Agriculture Organization of the United Nations (FAO) and was invited for Expert Committee meeting on “Improving methods for estimating crop area, yield and production under mixed, repeated and continuous cropping” held at FAO Headquarters, Rome, Italy during April 15-16, 2015.
  • Tauqueer Ahmad visited FAO Headquarters, Rome, Italy as Expert by FAO of the United Nations and was invited for Expert Committee meeting on “Improving methods for estimating post harvest losses” held at FAO Headquarters, Rome, Italy during April 16-17, 2015.
  • Tauqueer Ahmad visited Indonesia, Rwanda and Jamaica for imparting training to the Master trainers and Enumerators and supervised field data collection namely, under a FAO funded study awarded to ICAR-IASRI.
  • Tauqueer Ahmad was invited by FAO of the United Nations for participation in the Validation meeting on “Improving methods for estimating crop area, yield and production under mixed, repeated and continuous cropping” and brief session on “Measuring vegetable production” at FAO headquarters, Rome, Italy during September 7-8, 2016.
  • Tauqueer Ahmad was invited by FAO of the United Nations for participation in the Global Strategy Outreach Workshop on Agricultural Statistics andto the Seventh International Conference on Agricultural Statistics (ICAS VII) to be held at FAO Headquarters in Rome, Italy during October 24-28, 2016 and for presenting a research paper in the session on “Post Harvest Losses” in the FAO organized GS Workshop as Invited Speaker.
  • Tauqueer Ahmad presented a paper entitled “Sampling methodology for estimation of harvest and post harvest losses of major crops and commodities” by Tauqueer Ahmad, U.C. Sud, Anil Rai, Prachi Mishra Sahoo, S.N. Jha and R.K. Vishwarma on 25.10.2016 in Global Strategy Outreach Workshop on Agricultural Statistics held at FAO Headquarters, Rome, Italy during 24-25 October 2016.
  • Tauqueer Ahmad presented a paper entitled “An alternative methodology for estimation of cotton yield using double sampling approach” by U.C. Sud, Tauqueer Ahmad, Anil Rai and Prachi Mishra Sahoo on 26.10.2016 in Seventh International Conference on Agricultural Statistics (ICAS VII) held at FAO Headquarters, Rome, Italy during 26-28 October 2016.
  • Tauqueer Ahmad was recognized as Expert by FAO of the United Nations Rome, Italy and was invited for Expert Consultation on “SDG 12.3 – Measurement and action to meet the target on reducing food losses and food waste” held at FAO Headquarters, Rome, Italy during September 28-29, 2017.
  • DrAnkurBiswasand Dr Kaustav Aditya visited National Institute of Statistics of Rwanda, Kigali, Rwandaas a Resource Person to impart training on CAPI software during April 25-30, 2016 under the project “Research on improving methods for estimating crop area, yield and production under mixed, repeated and continuous cropping” funded by FAO of United Nations, Rome. Delivered several lectures on data collection work using CAPI software during 25-30 April, 2016 in the training to the 7 participants. In order to scrutinize the data, visited fields in the Musanze District in Rwanda where the field data collection work under the project was undertaken.
  •  DrAnkurBiswasvisited  Jamaica as a Resource Person in order to supervise data collection work during June 13-17, 2016 under the project entitled “Study on improving methods for estimating crop area, yield and production under mixed, repeated and continuous cropping” funded by FAO of United Nations, Rome. To supervise the data collection work, visited fields in all five enumeration areas in the study area of Jamaica viz. Albert Town, Lowe River, Warsop, Comfort Hall and Christiana, where the field data collection work under the project was undertaken by enumerators and supervisors from Ministry of Industry, Commerce, Agriculture & Fisheries, Hope Gardens, Kingston 6, Jamaica.

(2020)

  • Chandra, G., Raman Nautiyal, R. and Chandra, H. (2020). Statistical Methods and Applications in Forestry and Environmental Sciences. Springer Nature (Mathematical Sciences series), pages 288. ISBN 978-981-15-1475-3.
  • Chandra, H. and Chandra, G. (2020). Small Area Estimation for Total Basal Cover in the State of Maharashtra in India. Chapter in the edited book on Statistical Methods and Applications in Forestry and Environmental Sciences (edn. Chandra et al., 2020), Mathematical Sciences, Springer Nature. Chapter 16, pages 255-266.

(2019)

  • Das, S., Chandra, H., and Saha, U.R. (2019). District Level Prevalence of Diarrhea Disease among Under-five Children in Bangladesh: An Application of Small Area Estimation Approach. PLoS ONE. 14(2): e0211062.
  • Krishna, G., Sahoo, R.N., Singh, P., Bajpai, V., Patra, H., Kumar, S., Dandapani, R., Gupta, V.K., Viswanathan, C., Ahmad, T. and Sahoo, P.M. (2019). Comparison of various modelling approaches for water deficit stress monitoring in rice crop through hyperspectral remote sensing, Agricultural Water Management, 213, 231-244. Available at https://doi.org/10.1016/j.agwat.2018.08.029
  • Chandra, H., Gupta, S. and Shreyaskar, P.K.P. (2019). Disparity in Rural Poverty in Indo-Gangetic Plain in India: A Disaggregate Level Analysis. Statistics and Application, The special A.K. Nigam felicitation issue, The Society of Statistics, Computer and Application. 17(1), page 181–194.
  • Gupta, V.K. and Chandra, H. (2019). Statistics and Application. Edited (Special issue Special Issue to felicitate Professor Arun Nigam on his 75th birthday). Society of Statistics, Computer and Applications New Delhi, Volume 17(1). ISSN 2454-7395. Total pages 269 and 19 papers.
  • Gautam, A., Kumar, R. and Jain, S. (2019). Prevalence of gingival inflammation among pregnant women attending the Anugrah Narayan Magadh Medical College and Hospital, Gaya Bihar India. International Journal of Medical and Health Research, 5(6), 47-49.
  • Das, A., Gupta, S., Parihar, A.K., Saxena, D., Singh, D., Singha, K.D., Kushwaha. K.P.S., Chand, R, Bal, R.S. and Chandra S. Deciphering genotype-by-environment interaction for targeting test environments and rust resistant genotypes in field pea (Pisum sativum L.). doi: 10.3389/fpls.2019.00825.
  • Chowdhary, D., Bharadwaj, A. , Sehgal, V.K., Kumar, M., Sudeep, Biswas, A., Parsad, R. and Verma, R. (2019) Development of Mega-Environment for Maize in India using GIS approach. Journal of the Indian Society of Agricultural Statistics, 73(1), 79–86.
  • Singh, D., Kumar, R., Yadav, S.K., Roy, H.S., Biswas, A. and R. S. Shekhawat. (2019). A study on problems of major pulses producers and their solutions in India. Bhartiya Krishi Anushandhan Patrika, 34(2), 92-98. DOI: 18805/BKAP162. 
  • Kumari, V., Aditya, K., Chandra, H. and Kumar, A. (2019). Bayesian Discriminant Function Analysis Based Forecasting of Crop Yield in Kanpur District of Uttar Pradesh. Journal of Agrometeorology. 21(4), page 462-467. (NAAS Rating: 6.56).
  • Aditya, K, Chandra, H, Kumar, S, Nayak, N and Das, S (2019). Mobile Assisted Personal Interview Software-Development and Experiences from Implementation in Crop Estimation Survey in India. Journal of the Indian Society of Agricultural Statistics, 73(3), 257-263.

(2018)

  • Chandra, H., Salvati, N. and Chambers, R. (2018). Small area estimation under a spatially non-linear model. Computational Statistics and Data Analysis. 126, 19–38.
  • Basak, P, Sud, UC, and Chandra, H (2018). Calibration Estimation of Regression Coefficient for Two-stage Sampling Design using Single Auxiliary Variable. Journal of the Indian Society of Agricultural Statistics, 72 (1), 1-6.
  • Aditya, K; Chandra, H; Bhardwaj, A and Dahiya, R (2018). “Development of Software for Digitization of Collected Data under a Pilot Study to Estimate Crop Area and Production based on the Sample Sizes Recommended by Professor Vaidyanathan Committee Report”, Journal of the ISAS, 72(1), pp15-26 .
  • Chandra, H., Aditya, K. and Sud, U.C. (2018). Localised Estimates and Spatial Mapping of Poverty Incidence in the State of Bihar in India-An Application of Small Area Estimation Techniques. PLOS ONE. https://doi.org/10.1371/journal.pone.0198502
  • Islam, S., Chandra, H., Aditya, K. and LAL, S.B. (2018). Small area estimation from a spatial model using data from two surveys. International Journal of Agricultural and Statistical Sciences, 14(1), 231-237.
  • Dasgupta, P., Ahmad, T., Biswas, A. and Rai, A. (2018). A dual frame approach for estimating finite population total using ranked set sampling. International Journal of Agricultural and Statistical Sciences, 14(1), 409-418.
  • Chandra, H. (2018). Localised Estimates of Incidence of Indebtedness in Rural Households by Combining Survey and Census Data- An Application of Small Area Estimation Technique. Agricultural Economics Research Review. 31(1), page 29-44.
  • Das, S., Chandra, H. and Chambers, R. (2018). Robust Mean Squared Error Estimation for the ELL based Poverty Estimates under Heteroskedasticity – An Application to Poverty Estimation in Bangladesh. Statistics and Applications. 16 (1) (New Series), 375‒397.
  • Chandra, H., Aditya, K. and Kumar, S. (2018). Small Area Estimation under a Log Transformed Area Level Model. Journal of Statistical Theory and Practice. 12(3), 497-505.
  • Das, B; Sahoo, R.N.; Biswas, A; Pargal, S; Krishna, G; Verma, R; Chinnusamy, V; Sehgal, V K. and Gupta, V K. (2018). Discrimination of rice genotypes using field spectroradiometry, Geocarto International, DOI: 10.1080/10106049.2018.1506507
  • Biswas, A., Rai, A. and Ahmad, T. (2018). Rescaling Bootstrap Technique for Variance Estimation for Ranked Set Samples in Finite Population. Communications in Statistics – Simulation and Computation. DOI: 10.1080/03610918.2018.1527349
  • Parihar, A.K., A.J., Basandrai, A.K., Kushwaha, K.P.S., Chandra, S., Singha, K.D., Bal, R.S., Saxena, D., Singh, D. and Gupta, S. (2018). Targeting test environments and rust-resistant genotypes in lentils (Lens culinaris) by using heritability-adjusted biplot analysis. Crop & Pasture Science, 69, 1113–1125.https://doi.org/10.1071/CP18259.
  • Sharma, S.R., Parihar, A.K., Singh, D., Varshney, N., Lal, C., Sharma, V. and Khedar, O.P. (2018). Genetic components and traits relationship in a panel of Black gram [Vigna mungo (L.) Hepper] diverse genotypes. Journal of Food Legumes 31(1): 10-14.
  • Anjoy, P., Chandra, H. and Basak, P. (2018). Estimation of Disaggregate-Level Poverty Incidence in Odisha Under Area-Level Hierarchical Bayes Small Area Model. Social Indicators Research. DOI: 10.1007/s11205-018-2050-9.
  • Paul, Nobin Chandra; Sahoo, Prachi Misra; Sahoo, RN; Das, Bappa; Biswas, Ankur; Krishna, Gopal; Rai, Anil and Ahmad, Tauqueer. (2018). Comparative Evaluation between Multispectral and Hyperspectral Data for Discrimination of Fruit Crops using Statistical Techniques. Journal of the Indian Society of Agricultural Statistics, 72(3), 187-191.

(2017)

  • Basak, P, Sud, UC, and Chandra, H (2017).Calibration Estimation of Regression Coefficient for Two-stage Sampling Design. Journal of the Indian Society of Agricultural Statistics,71 (1), 1-6.
  • Kumar, S., Sisodia, B. V. S., Kumar, S., Singh, D. and Basak, P. (2017). On various approaches for estimating finite population total in survey sampling under ratio super population model. International Journal of Agricultural and Statistical Sciences, 13(2), 677-682.
  • Kumar, S., Sisodia, B. V. S., Singh, D. and Basak, P. (2017). Calibration approach based estimation of finite population total in survey sampling under super population model when study variable and auxiliary variable are inversely related. Journal of Reliability and Statistical Studies, 10(2), 83-93.
  • Chandra, H., Kumar, S. and Aditya, K. (2017).Small Area Estimation of Proportions with Different Levels of Auxiliary Data. Biometrical Journal. In Press.
  • Biswas, Ankur, Rai, Anil, Ahmad, Tauqueer and Sahoo, Prachi Misra (2017). Spatial estimation and rescaled spatial bootstrap approach for finite population.
    Communications in Statistics – Theory and Methods, 46(1), 373–388. http://doi.org/10.1080/03610926.2014.995820

(2016)

  • Aditya, K, Sud, UC, Chandra, H and Biswas, A (2016). Calibration Based Regression Type Estimator of the Population Total under Two Stage Sampling Design. JISAS, 70(1), pp.19-24.
  • Aditya, K (2016). Estimation of domain mean using two stage sampling in the presence of non-response. IJRSS, 6 (5).
  • Aditya, K, Sud, UC, and Chandra, H (2016). Calibration Approach Based Estimation Of Finite Population Total Under Two Stage Sampling. Journal of the Indian Society of Agricultural Statistics, Volume 70, No. 3, December 2016, pp. 219-226.
  • Das, S, Aditya, K and Singh, M (2016).Evaluation of Rhizobium Efficency in chickpea through boron management. Bharatiya Krishi Anusandhan Patrika, 31(3), 181-186, 2016.
  • Aditya, K and Chandra, H (2016). Estimation of Crop Area and Yield at State and National level based on reduced sample sizes. Samikshya, Volume 10, pp. 6-11.
  • Aditya, K, Biswas, A, Gupta, A K and Chandra, H (2016).District Level Crop Yield Estimation Using Calibration Approach. Current Science, 112(9), pp:1927-1931.
  • Kumari, V., Agrawal, R. and Kumar, A. (2016).”Use of ordinal logistic regression in crop yield forecasting” Mausam, 67(4), 913-918.
  • Basak, P, Sud, UC, and Chandra, H (2016).Calibration Approach Based Estimator of Finite Population Regression Coefficient under Two-stage Sampling Design. International Journal of Agricultural and Statistical Sciences, 12(2),415-422.
  • Kumar, R and Bhar, L. M. (2016). Outliers in incomplete multi response experiments. Communication in Statistics-Theory and Methods, 46(22), 10426-10445.

(2015)

  • Biswas, Ankur, Rai, Anil, Ahmad, Tauqueer and Sahoo, Prachi Misra (2015).Spatial estimation approach under ranked set sampling from spatial correlated finite population. International Journal of Agricultural and Statistical Sciences, 11(2), 551-558.

(2014)

  • Sud, UC, Aditya, K and Chandra, H (2014).District Level Crop Yield Estimation under Spatial Small Area Model.J. Ind. Soc. Agril. Statist.,69(1), pp. 49-56
  • Aditya, K, Sud, UC and Chandra, H (2014).Estimation of domain mean using two stage sampling with sub-sampling of non-respondents.J. Ind. Soc. Agril. Statist., 68(1), 39-54.
  • Sahoo, R.N., Biswas, A., Singh, G.P., Gupta, V.K. and Singh, R. on “Wheat genotypes discrimination through Hyperspectral Remote Sensing”. ICAR News, New Initiatives Section, 20 (1), January-March, 2014, pp-5.
  • Kumari, V. and Kumar, A. (2014).Forecasting of wheat (Triticumaestivum) yield using ordinal logistic regression. Indian Journal of Agricultural Sciences, 84, (6): 691–4.
  • Basak, P, Chandra, H, Sud, UC and Lal, S. B. (2014).Prediction of Population Total for Skewed Variable under a Log Transform Model. International Journal of Agricultural and Statistical Sciences, 9(2), 143-154.
  • Basak, P, Chandra, H, and Sud, UC (2014).Estimation of Finite Population Total for Skewed Data. Journal of the Indian Society of Agricultural Statistics, 68(3), 333-341.

(2013)

  • Biswas, A, Ahmad, T and Rai, A (2013). Variance Estimation Using Jackknife Method In Ranked Set Sampling Under Finite Population Framework. Journal of the Indian Society of Agricultural Statistics, 67(3), 345-353.

(2012)

  • Agrawal, R, Chandrahas and Aditya, K (2012).Use of discriminant function analysis for forecasting crop yield”.Mausam, Vol. 63, No. 3, pp. 455-458.
  • Aditya, K., Sud, U.C. and Chandra, H (2012).Estimation of domain total for unknown domain size in the presence of nonresponse. Statistics and Applications, 10, Nos.1 & 2, pp. 13-25.

Copyrights

Software for Survey Data Analysis (SSDA 1.0)

Web based Software for Survey Data Analysis (SSDA 2.0)

Pilot Study on Cost of Production of Coconut in Kerala

Study to Develop an Alternative Methodology for Estimation of Cotton Production

Study to Investigate the Causes of Variation between Official and Trade Estimates of Cotton Production

Mobile Assisted Personal Interview version 1(MAPI ver. 1)

Data Entry Software for estimation of harvest and post harvest losses of crop/commodities

 

1)    International

S.N.Name of the TrainingDurationTarget group
1International Training Programme on “Techniques of Estimation of Output of Food Crops”08 Nov-21 Dec, 1989; 18 Feb-30 Mar, 1991; 03 Feb-12 Mar, 1992, 06 Feb-20 Mar, 1993; 18 Oct-01 Dec, 1994; 26 Feb-10 Apr, 1996Participants from Afro-Asian Countries
2Commonwealth Training Programme on “Agricultural Sample Surveys, crop Yield Modelling and Computer Programming”17 Mar-30 Apr, 1992Participants from Commonwealth Countries
3Remote Sensing and GIS Applications (Course Co-ordinator – Dr Randhir Singh, Asstt. Course Co-ordinator – Dr Anil Rai)11-21 Jan, 1999Officials from Nigerian Government
4Training Programme/Study Tour (Funded by FAO) (Course Director – Dr HVL Bathla,Associate Course Director – Dr KK Tyagi)13-27 Apr, 2001Participants from Eritrea, Asmara
5Workshop on “Economic Accounts for Agriculture" jointly conducted by the Food and Agriculture Organization (FAO) of the United Nations and the United Nations Statistical Institute for Asia and the Pacific (SIAP) (Course Director – Dr HVL Bathla)10-15 Dec, 2001Participants from Bangladesh, Bhutan, Cambodia, Islamic Republic of Iran, Laos, Nepal, Pakistan, Sri Lanka and India
6An International study tour/Training Programme on "Development of Agricultural Statistics System”- sponsored by Food & Agriculture Organisation. (Course Director – Dr HVL Bathla)06-11 Mar, 2006Participants from Timor Leste
7International Training Programme for Malaysian Delegates.01-05 Aug, 2006Malaysian Delegates
8A Study Visit for the International Participants from Afghanistan” sponsored by FAO (Course Director – Dr HVL Bathla)10– 29 December, 2007Afghanistan nationals
9Study Visit on “Indian Agricultural Statistics System” for Afghanistan nationals sponsored by the Food and Agriculture Organization (FAO). (Course Director – Dr HVL Bathla)03-17 Nov, 2008Afghanistan nationals
10An International training programme on “Agricultural Statistics System in India”,  funded by Central Statistical Organization (CSO), Ministry of Statistics and Programme Implementation (MOS&PI), Govt. of India (GOI). (Course Director – Dr UC Sud, Co-Course Director – Dr KK Tyagi)31 May-11 Jun, 2010Officials of SAARC countries
11An International training programme on “Applications of Remote Sensing and GIS in Agricultural Surveys” (Course Director - Dr PrachiMisraSahoo, Course Coordinator - Dr Tauqueer Ahmad)09-23 Sep, 2011Officers of Census and Statistics Department Colombo, Srilanka
12Assisted in organizing one week module of an International training programme on “Sampling Techniques and Survey Methods” organized by National Academy of Statistical Administration (NASA), MOS & PI, GOI at IASRI, New Delhi03-08 Oct, 2011Officers of Srilanka Government
13An International training programme on “Application of Remote Sensing and GIS in Agricultural Surveys”, sponsored by Afro Asian Rural Development Organization (AARDO) (Course Director - Dr PrachiMisraSahoo, Co-Course Directors - Dr KN Singh and Dr Tauqueer Ahmad)18 Jan-07 Feb, 2012Afro-Asian Rural Development Organizations (AARDO) member countries
14An International Training programme on “Techniques of Estimation and Forecasting of Crop Production in India”, funded by the Food and Agriculture Organization (FAO) (Course Director - Dr UC Sud, Co-Course Director - Dr Hukum Chandra)23 May to 02 Jun, 2012Officials of the Ethiopian Central Statistical Agency
15An International training programme on ‘Applications of Remote Sensing and GIS in Agricultural Surveys’ for African -Asian Rural Development Organization (AARDO) (Course Director - Dr.PrachiMisraSahoo, Course Coordinator - Dr.Tauqueer Ahmad)24 Jan–13 Feb, 2013Afro-Asian Rural Development Organizations (AARDO) member countries
16Study visit on "Agricultural statistics system and food security policy analysis in India" under the Project “Strengthening Food and Agriculture Information System” funded by UNDP. (Course Director - Dr. UC Sud, Course Coordinator - Dr.Tauqueer Ahmad)04 - 08 Feb, 2013Officials of DPR Korea
17International training programme on “Application of Remote Sensing and GIS in Agricultural Surveys” sponsored by African- Asian Rural Development Organization (AARDO) (Course Director - Dr.PrachiMisraSahoo, Course Coordinator - Dr.Tauqueer Ahmad)12 Feb -04 Mar, 2015Afro-Asian Rural Development Organizations (AARDO) member countries
18International training programme on "Use of Models in Crop Yield Estimation” (Course Director - Dr Hukum Chandra, Co-Course Director - ShRaju Kumar)02-06 Nov, 2015Officers from SAARC countries funded by National Statistical System Training Academy (NSSTA), Central Statistics Office, Ministry of Statistics & Programme Implementation, Government of India, New Delhi
19International training programme on “Sampling Methodology, Field Organisation and Data Quality” (Course Director - Dr.Tauqueer Ahmad, Co-Course Director - Dr Hukum Chandra)April 17-21, 2017Officials of Central Statistical Agency (CSA), Ethiopia.
20International training programme on “Sampling Methodology, Field Organisation and Data Quality” (Course Director - Dr.Tauqueer Ahmad, Co-Course Director - Dr Hukum Chandra)May 01-05, 2017Officials of Central Statistical Agency (CSA), Ethiopia.
21International training programme on “Recent Advances in Agricultural Surveys: Remote Sensing and GIS Applications” sponsored by African-Asian Rural Development Organization (AARDO) (Programme Director Dr PrachiMisraSahoo)22 Nov – 12 Dec, 2017African-Asian Rural Development Organization (AARDO) member countries
22International training programme on “Recent Advances in Agricultural Surveys: Remote Sensing and GIS Applications” sponsored by African-Asian Rural Development Organization (AARDO) (Programme Director - Dr Prachi Misra Sahoo, Course Coordinators - Dr Tauqueer Ahmad and Ankur Biswas)11-31 March, 2019African-Asian Rural Development Organization (AARDO), New Delhi

2)    National

S.N.Name of the TrainingDurationTarget group
1Models in Survey Sampling20-24 Dec, 1993Associate/Asstt. Professor from SAU’s/Scientists from ICAR Institutes
2Modern Sampling Techniques (Course Director - Dr AK Srivastava, Associate Course Director – Dr HVL Bathla)13-17 Oct, 1997Senior/Middle level ISS Officers from CSO/NSSO
3CAS Training programme on “Recent Advances in Survey Sampling in Relation to Agriculture” (Course Director - Dr AK Srivastava)08-22 Jun, 1998Associate/Asstt. Professor from SAU’s/Scientists from ICAR Institutes
4Recent Advances in the Analysis of Survey Data (Course Director - Dr AK Srivastava, Associate Course Director – Dr KK Tyagi)24-29 Aug, 1998Senior/Middle level ISS Officers from CSO/NSSO
5Methodological Aspects in Sample Surveys (Course Director – Dr HVL Bathla, Associate Course Director – Dr BC Saxena)08-13 Mar, 1999Senior/Middle level ISS Officers from CSO/NSSO
6Small Area Estimation-Theory and Applications (Course Director - Dr AK Srivastava, Associate Course Director – Dr UC Sud)22-27 Mar, 1999Senior/Middle level ISS Officers from CSO/NSSO
7Qualitative Aspects in Collection and Analysis of Survey Data (Dr Randhir Singh)09-14 Aug, 1999Senior/Middle level ISS Officers from CSO/NSSO
8Winter School on "Recent Developments in  Survey Sampling in Relation to Agricultural Research" (Course Director – Dr AK Srivastava, Co-Course Director – Dr KK Tyagi)14 Sep–04 Oct, 1999Associate/ Asstt. Professors from SAU’s/ Scientists from ICAR Institutes
9Computer Intensive Techniques in Agricultural Surveys (Course Director – Dr Randhir Singh, Co-Course Director – Dr Anil Rai)20 Jan–04 Feb, 2000Associate/ Asstt. Professors from SAU’s/ Scientists from ICAR Institutes
10Recent Advances in the Analysis of Survey Data (Course Director – Dr HVL Bathla, Associate Course Director – Dr KK Tyagi)06-26 Feb, 2001Scientists / Faculty Members of National Agricultural Research System
11Sample Surveys related to the estimation of area and production of fruits and vegetables. (Course Director – Dr UC Sud)22-25 Aug, 2001Officials from Department of Horticulture, Govt. of Haryana
12Small Area Estimation Techniques in Agriculture (Course Director – Dr UC Sud)13-23 May, 2002Associate/ Asstt. Professors from SAU’s/ Scientists from ICAR Institutes
13Summer school on “Application of Remote Sensing and GIS in Agricultural Statistics” (Course Director – Dr Randhir Singh)06-26 Aug, 2003Scientists/Assistant/Associate Professors from ICAR Institutes and State Agricultural Universities
14A winter school on Recent advances in survey sampling with special emphasis on computer intensive data analysis techniques (Course Director – Dr UC Sud)05-25 Nov, 2003Scientists/Assistant/Associate Professors from ICAR Institutes and State Agricultural Universities
15A training programme on “Sampling Techniques, Sample Surveys and Methodological Aspects relating to Cost of Cultivation Studies” (Course Directors – Dr HVL Bathla& Dr KK Tyagi)16-21 Aug, 2004Senior level Officers of Tariff Commission, Ministry of Commerce & Industry, Govt. of India
16A Winter School on "Sample Survey Techniques in Agricultural Research" (Course Director - Dr K.K. Tyagi)11-31 Jan, 2005Assistant / Associate Professors from SAUs and Scientists from ICAR Institutes
17A Refresher training programme on “Small Area Estimation Techniques” sponsored by CSO, Ministry of Statistics and Programme Implementation. (Course Director - Dr.Randhir Singh)25-30 Jul, 2005Indian Statistical Services (ISS) Officers
18A CAS sponsored Training Programme on “Recent Advances in the Analysis of Survey Data” (Course Director - Dr K.K. Tyagi)18 Nov–08 Dec, 2005Scientists / Asstt. / Assoc. Prof. of various SAUs under National Agricultural Research System
19A training programme on “Small Area Estimation Techniques” (Course Director - Dr HVL Bathla)10-15 Jul, 2006Senior level Officers of Tariff Commission, Ministry of Commerce & Industry, Govt. of India
20Summer school on “Sample Survey Techniques in Agricultural Research” (Dr KK Tyagi - Course Director)05 – 25 Sep, 2006Scientists/Assistant/Associate Professors from ICAR Institutes and State Agricultural Universities
21Winter School on “Sample Survey Techniques in Agricultural Research” (Course Director – Dr KK Tyagi)16 Jan to 05 Feb, 2008Scientists/Assistant/Associate Professors from ICAR Institutes and State Agricultural Universities
22A CAS training programme on “Recent advances in sample survey and analysis of survey data” (Course Director – Dr UC Sud, Co-Course Director – Dr Hukum Chandra)10 Feb–02 Mar, 2009Scientists / Asstt. / Assoc. Prof. of various SAUs under National Agricultural Research System
23A refresher training programme on “Small Area Estimation” sponsored by Central Statistical Organization (CSO), Ministry of Statistics and Programme Implementation (MOS&PI), Govt. of India (GOI). (Course Director – Dr UC Sud, Co-Course Director – Dr Hukum Chandra)18 - 22 Jan, 2010Indian Statistical Services and other senior officers of States/UTs
24A refresher training course on “Research Methodology for Official Statistics” sponsored by CSO, MOS&PI, GOI. (Course Director – Dr UC Sud, Co-Course Director – Dr Tauqueer Ahmad)01 – 06 Feb, 2010Indian Statistical Service (ISS) officers and statistical personnel
25A Refresher Training Programme on "Agricultural Statistical System in India" sponsored by MOSPI, GOI. (Course Director – Dr KK Tyagi, Co-Course Director – DrAK Gupta)15-19 Mar, 2010Statistical Personnel of States/UTs/PSUs of MOSPI, GOI
26A refresher training programme on “Small Area Estimation”, funded by CSO, MOS&PI, GOI. (Course Director – Dr UC Sud, Co-Course Director – Dr Tauqueer Ahmad)23-28 Aug, 2010In-service ISS officers and senior officers of State Govts./UTs
27A refresher training programme on “Agricultural Statistics”, funded by CSO, MOS&PI, GOI. (Course Director- Dr UC Sud, Co-Course Directors - Dr KK Tyagi and Dr Tauqueer Ahmad)26-30 Sep, 2011Officers of Directorate of Economics & Statistics of different States
28CAFT Training Programme on “Recent Advances in Sample Survey and analysis of Survey Data using Statistical Softwares” (Course Director - Dr Hukum Chandra, Co-Course Director - Dr Kaustav Aditya)03-23 Oct, 2012Scientists of ICAR Institutes/Asstt-Associate Professors of SAUs
29Refresher training programme on “Agricultural Statistics” (Course Director - Dr KK Tyagi, Co-Course Director - Dr Tauqueer Ahmad)30 Oct to 02   Nov, 2012Officers from the Department of Agriculture, Government of Andhra Pradesh State
30Refresher Course on “Small Area Estimation” (Course Director - Dr UC Sud, Co-Course Director - Dr Hukum Chandra)03 – 08 Dec, 2012In- Service Officers of Indian Statistical Service at IASRI, New Delhi
31Refresher training program on “Integrated Sample Survey Methodology” (Course Director - Dr Hukum Chandra, Co-Course Director - Dr Kaustav Aditya)20-24 Jan, 2014Participants of Department of Animal husbandry, Dairying & Fisheries, Ministry of Agriculture, Govt. of India
32Refresher training program on “Integrated Sample Survey Methodology” (Course Director - Dr Hukum Chandra, Co-Course Director - Dr Kaustav Aditya)03-07 Mar, 2014Participants of Department of Animal husbandry, Dairying & Fisheries, Ministry of Agriculture, Govt. of India
33Refresher training program on “Statistical techniques” (Course Director - Dr Hukum Chandra, Co-Course Director - Dr AK Gupta)08-12 Sep, 2014Participants of Statistical Staff of Livestock Development Department, Govt. of Chhattisgarh
34CAFT programme on "Recent Advances in Survey Design and Analysis of Survey Data Using Statistical Software" Under the aegis of Education Division, ICAR, New Delhi (Course Coordinator - Dr Hukum Chandra, Co-Course Director - Dr Kaustav Aditya)28 Oct–17 Nov, 2014Scientists of ICAR Institutes/Asstt-Associate Professors of SAUs
35Refresher training programme on “Integrated Sample Survey Methodology” (Course Director - Dr Hukum Chandra, Co-Course Director - Dr Kaustav Aditya)08-12 Jun, 2015Participants of the Department of Animal Husbandry, Dairying & Fisheries, Ministry of Agriculture, Government of India
36A refresher training programme on “Sample Survey and Sampling Design” (Course Director - DrTauqueer Ahmad, Co-Course Director - Dr AnkurBiswas)06-10 Jul, 2015Officials of the Directorate of Economics and Statistics, Department of Planning, Government of Uttar Pradesh
37Training programme on “Small Area Estimation Techniques” (Course Director - Dr Hukum Chandra, Co-Course Director - Dr Kaustav Aditya)24-28 Aug, 2015Statistical Personnel of the Directorate of Economics and Statistics (DES), Department of Planning, Government of Uttar Pradesh
38Training programme on "Crop Cutting Experiments Technique" (Course Director - Dr Tauqueer Ahmad, Co-Course Director - Ms. VanditaKumariChoudhary)14-19 Sep, 2015Officials of Skymet Weather Services Private Ltd., Noida
39Refresher training programme on "Small Area Estimation Techniques and Applications" funded by National Statistical System Training Academy (NSSTA), Central Statistics Office, Ministry of Statistics & Programme Implementation, Government of India, New Delhi (Course Director - Dr Hukum Chandra, Co-Course Director - Dr Kaustav Aditya)16-20 Nov, 2015ISS officers of Central Statistics Office, Ministry of Statistics &Programme Implementation, Government of India
40CAFT programme on "Recent advances in Sample surveys and survey data analysis using statistical software" Under the aegis of Agricultural Education Division, ICAR, New Delhi. (Course Coordinator:   Dr  Kaustav Aditya, Course Co-coordinator: DrAnkurBiswas)01-21 Dec, 2017Scientists of ICAR Institutes/Asstt-Associate Professors of SAUs
41Refresher training programme on "Handling Large Scale Data and Data Analysis using R", funded by National Statistical System Training Academy (NSSTA), Ministry of Statistics & Programme Implementation, Govt. of India. (Course Director - Dr Hukum Chandra, Co-Course Director - Dr Pradip Basak)08-13 October, 2018In service Indian Statistical Service officers
42Refresher training programme on "Advanced Sampling Techniques with Practical Examples from NSSO & Health Surveys", funded by National Statistical System Training Academy (NSSTA), Ministry of Statistics & Programme Implementation, Government of India. (Course Director - Dr Hukum Chandra, Co-Course Director –Sh Deepak Singh)29 October - 03 November, 2018In service Indian Statistical Service officers
43Training programme on "Data Analysis and Interpretation", funded by NSSTA, Ministry of Statistics and Programme Implementation, Govt. of India. (Course Director - Dr Hukum Chandra, Co-Course Directors - Dr Kaustav Aditya and Dr Pradip Basak)13-24 May, 2019Indian Statistical Service (ISS) Probationers
44Training programme on “Field Survey, Data Collection, Compilation and Analysis” (Programme Director - Dr Tauqueer Ahmad, Program Coordinators - Dr Prachi Misra Sahoo and Dr Raju Kumar)04-08 November, 2019Officers from Indian Council of Forestry Research and Education (ICFRE), Dehradun
45Centre of Advanced Faculty Training (CAFT) programme on “Recent Advances in Sample Survey and Data Analysis using Statistical Software” Under the aegis of Education Division, ICAR, New Delhi. (Course Coordinator - Dr Hukum Chandra, Course Co-Coordinators - Dr Kaustav Aditya and Dr Pradip Basak)28 November-18 December, 2019Scientists of ICAR Institutes/Asstt-Associate Professors of SAUs
46Training programme on “Sampling Techniques for Crop Cutting Experiment (CCE)”. (Course Director - Dr Tauqueer Ahmad, Course Coordinators - Dr Prachi Misra Sahoo and Dr Ankur Biswas). 06-10 January, 2020Officers of Department of Economics and Statistics, Govt. of Meghalaya
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