प्रतिदर्श सर्वेक्षण

Dr. Tauqueer Ahmad
Head(A)
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, extent of cultivation and production of fruits and vegetables, estimation of plantation crops like arecanut, coconut, cashewnut, 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 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:

S. No. Project  title Duration Project leader* and associates
1. Development of methodology for nonparametric modelling of time-series data and its application in Agriculture. 06.06.2015 to 05.12.2017 Himadri Ghosh* and

Soumen Pal

2. Development of Rank Based Stability Measures for Selecting Genotypes.

 

10.09.2015 to 31.08.2017 Prakash kumar*, A.K. Paul,  Samarendra Das and L.M. Bhar
3. Gene selection for classification of crop gene expression data

 

30.10.2015 to 19.10.2018 Samarendra Das,

**P.K. Meher, R.K. Paul

and Prakash Kumar

4. A study on sequence encoding based approaches for splice site prediction in agricultural  species 01.01.2016 to 31.12.2017 *P.K. Meher, Prakash   Kumar and A.R. Rao
5. Study of Long Memory and Periodicities in Climate Variables in Different Agro-Climatic Zones of India 19.04.2017 to 18.05.2020 Ranjit Paul, L M Bhar, A K Paul

 

  • **P.K.Meher will be P.I. from 09.08.2017 onwards.

 

 

External Funded

S. No.

 

Project  title

 

Duration Project leader and associates
1. Stochastic differential equation models and their applications to agriculture. Funded by SERB, DST, Government of India: CCPI 6.11.2015 to 05.11.2018 *Prajneshu, Himadri Ghosh and L.M. Bhar
2 Creation of Policy and Strategy Cell (PSC) at ICAR-NIAP for Doubling Farmers’ Income in India by 2021-22: Estimating Farm Income and Facilitating the Implementation of Strategic Framework 31.03.2017 to 31.03.2022 Raka Saxena (NIAP), Naveen P. Singh (NIAP), Usha Ahuja (NIAP) and Ranjit Kumar  Paul (IASRI)
3. Modelling insect pests and diseases under climate change and development  of digital tools for pest management

(National Initiative on climate resilient agriculture (NICRA), Government of India)

20.06.2017-31.03.2020 S Vennila (NCIPM), M N Bhat (NCIPM), Niranjan Singh (NCIPM), Ranjit Kumar Paul (IASRI), M Prabhakar (CRIDA) and M S Rao (CRIDA)
4. Elucidating the mechanism of pashmina fibre development: An OMICS approach. 01.07.2015 to 30.06.2018 SKUST: Nazir A. Ganai

NDRI : Jai K. Kaushik

IASRI: A.R.Rao, P.K. Meher

 

Completed Projects:

Instituted Funded:

S. No.

 

Project  title

 

Project leader * and associates
1. Modeling and construction of transcriptional regulatory networks using time-series gene expression data (2017)

 

*Samarendra Das, Bishal  Gurung, Sanjeev Kumar, S.D. Wahi
2. Estimation of Heritability under correlated errors (2016) A.K.Paul* and S.D.Wahi
3. Estimation of Breeding Value Using Longitudinal Data (2016)

 

*U.K. Pradhan, P.K.  Meher, A.R. Rao and A.K. Paul
4. A study on STAR and SV families of nonlinear time-series models for describing cyclicity and volatility in Agriculture. (2015) *Bishal Gurung and Himadri Ghosh,  and R. K. Paul
5. A study on modeling and forecasting of time-series with long memory process. (2015) *R. K.  Paul, Himadri  Ghosh, and Bishal Gurung
6. Development of Methodology of Estimation of compound Growth Rate and Its Web Based Solutions. I.A.S.R.I., New Delhi. (2013) *S. Pal,  Himadri  Ghosh, and Prajneshu
7. Development of Weather-based Crop Yield Forecasting Models using GARCH and Wavelet Techniques. I.A.S.R.I., New Delhi. (2013) *R. K. Paul , Himadri Ghosh, and Prajneshu
8. A study of Stochastic Volatility Models Through Particle Filtering. I.A.S.R.I., New Delhi. (2013)

 

 

*Bishal Gurung and Himadri  Ghosh

 

 

Completed

External Funded:

S. No.

 

Project  title

 

Project leader* and associates
1. Network Project on Market Intelligence: Funded by ICAR: CCPI (2017)

 

*Raka Saxena from NIAP,  R.K.Paul
2. Network Project on “Impact Assessment of Agricultural Research and   Development” Funded by ICAR: CCPI (2017)

 

*P.S. Birthal from NIAP, Shiv Kumar from NIAP, R.K.Paul

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.

Papers in research journals (National/International)

  • Kaustav Aditya, UC Sud, Hukum Chandra and AnkurBiswas (2016). Calibration Based Regression Type Estimator of the Population Total under Two Stage Sampling Design. JISAS, 70(1), pp.19-24.
  • Kaustav Aditya (2016). Estimation of domain mean using two stage sampling in the presence of non-response.IJRSS, 6 (5).
  • Kaustav Aditya, UC Sud and Hukum Chandra (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.
  • Shrila Das, Kaustav Aditya and Man Singh (2016).Evaluation of Rhizobium Efficencyin chickpea through boron management.BharatiyaKrishiAnusandhanPatrika, 31(3), 181-186, 2016.
  • Kaustav Aditya and Hukum Chandra (2016). Estimation of Crop Area and Yield at State and National level based on reduced sample sizes. Samikshya, Volume 10, pp. 6-11.
  • Kaustav Aditya, AnkurBiswas, Ashok Kumar Gupta and Hukum Chandra (2016).District Level Crop Yield Estimation Using Calibration Approach.Current Science, 112(9), pp:1927-1931.
  • UC Sud, Kaustav Aditya and Hukum Chandra (2014).District Level Crop Yield Estimation under Spatial Small Area Model. 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. Ind. Soc. Agril. Statist., 68(1), 39-54.
  • RanjanaAgrawal, Chandrahas and Kaustav Aditya (2012).Use of discriminant function analysis for forecasting crop yield”.Mausam, 63, No. 3, pp. 455-458.
  • Bharatiya Krishi Anusandhan Patrika, 32(1),pp. 31-34.
  • Aditya, K., Sud, U.C. and Hukum Chandra (2012).Estimation of domain total for unknown domain size in the presence of nonresponse. Statistics and Applications, 10, Nos.1 & 2, pp. 13-25.
  • Biswas, Ankur, Rai, Anil, Ahmad, Tauqueer and Sahoo, PrachiMisra (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
  • Biswas, Ankur, Rai, Anil, Ahmad, Tauqueer and Sahoo, PrachiMisra (2015).Spatial estimation approach under ranked set sampling from spatial correlated finite population.International Journal of Agricultural and Statistical Sciences, 11(2), 551-558.
  • Biswas, Ankur, Ahmad, Tauqueer and Rai, Anil. (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.
  • Sahoo, R.N., Biswas, ,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.
  • Kumari, V., Agrawal, R. and Kumar, A. (2016).”Use of ordinal logistic regression in crop yield forecasting” Mausam, 67(4), 913-918.
  • Pradip Basak, Hukum Chandra, U. C. Sud and S. B. Lal (2014).Prediction of Population Total for Skewed Variable under a Log Transform Model. International Journal of Agricultural and Statistical Sciences, 9(2), 143-154.
  • Pradip Basak, Hukum Chandra and U. C. Sud (2014).Estimation of Finite Population Total for Skewed Data.Journal of the Indian Society of Agricultural Statistics, 68(3), 333-341.
  • Pradip Basak, U. C. Sud and Hukum Chandra (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.
  • Pradip Basak, U. C. Sud and Hukum Chandra (2017).Calibration Estimation of Regression Coefficient for Two-stage Sampling Design. Journal of the Indian Society of Agricultural Statistics,71 (1), 1-6.
  • Pradip Basak, U. C. Sud and Hukum Chandra (2017).Calibration Estimation of Regression Coefficient for Two-stage Sampling Design using Single Auxiliary Variable. Journal of the Indian Society of Agricultural Statistics.(Accepted)
  • 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.(Accepted)
  • 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.(Accepted)
  • Chandra, H., Kumar, S. and Aditya, K. (2017).Small Area Estimation of Proportions with Different Levels of Auxiliary Data.Biometrical Journal.In Press.
  • Kumar, R and Bhar, L. M. (2016).Outliers in incomplete multiresponse experiments.Communication in Statistics-Theory and Methods, 46(22), 10426-10445.

Technical/popular articles

 

Books/e-manual/reference manual

  • Published a book entitled “Crop Yield Forecasting Using Discriminant Function Analysis” by Kaustav Aditya and Shrila Das was published in Lap Lambert Academic Publishing GMBH and Co. KG, Germany. ISBN: 978-3-659-17011-9.
  • e-Book entitled “Techniques of Estimation and Forecasting of Crop Production in India” by Umesh Chandra Sud, Kaustav Aditya and Hukum Chandra at IASRI website.   http://www.iasri.res.in/ebook/TEFCPI_sampling/index.htm
  • e-Book entitled “Recent Advances in Sample Survey and Analysis of Survey Data using Statistical Softwares” By Hukum Chandra, U.C. Sud, Kaustav Aditya, V. K. Gupta and Anshu Bharadwaj on Sample survey Resource server of IASRI.http://design.iasri.res.in/ssrs/ebooks.html
  • Project report of the project entitled “Study of Sample Sizes for Estimation of Area and Production of Food Grain Crops”. (Project code: SIX1125)
  • Project report of the project entitled “Small area estimation under skewed data”.
  • Project report of the project entitled “A study on calibration estimators of finite population total for two stage sampling design”.
  • e-Manual on “Recent Advances in Sample Survey and Analysis of Survey Data Using Statistical Softwares” published at IASRI, New Delhi-12 by Hukum Chandra and Kaustav Aditya.
  • e-Manual on “Integrated Sample Survey Methodology” published at IASRI, New Delhi-12 on 20-24 January, 2014 by Hukum Chandra and Kaustav Aditya.
  • e-Manual on “Recent Advances in Survey Design and Analysis of Survey Data Using Statistical Software” published at IASRI, New Delhi-12 by Hukum Chandra and Kaustav Aditya.
  • Reference Manual entitled “Recent Advances in Sample Survey and Analysis of Survey Data Using Statistical Softwares” Vol-I by Hukum Chandra and Kaustav Aditya was published 03-23 October, 2012 at IASRI, New Delhi.
  • Reference Manual entitled “Recent Advances in Sample Survey and Analysis of Survey Data Using Statistical Softwares” Vol-II by Hukum Chandra and Kaustav Aditya was published on 03-23 October, 2012 at IASRI, New Delhi.
  • Reference Manual entitled “Integrated Sample Survey Methodology” by Hukum Chandra and Kaustav Aditya was published on 20-24 January, 2014 at IASRI, New Delhi.
  • Reference Manual entitled “Integrated Sample Survey Methodology” by Hukum Chandra and Kaustav Aditya was published on 03-07 March, 2014 at IASRI, New Delhi.
  • Reference Manual entitled “Recent Advances in Survey Design and Analysis of Survey Data using Statistical Software” Vol-I by Hukum Chandra and Kaustav Aditya was published 28th October-17th November, 2014 at IASRI, New Delhi.
  • Reference Manual entitled “Recent Advances in Survey Design and Analysis of Survey Data using Statistical Software” Vol-II by Hukum Chandra and Kaustav Aditya was published on 28th October-17th November, 2014 at IASRI, New Delhi.
  • Bibliography on “Nonresponse in Survey Sampling” available online at the Sample Survey Resource Server of the IASRI website.
  • Reference Manual entitled “Integrated Sample Survey Methodology” by Hukum Chandra and Kaustav Aditya.
  • Reference manual entitled “Small Area estimation techniques and applications” by DrHukum Chandra and Dr. Kaustav Aditya.
  • Reference manual entitled “Small Area estimation” by DrHukum Chandra and Dr. Kaustav Aditya.
  • Importance of Soil Macroflora in Maintaining Soil Physical Condition by Shrila Das, Ruma Das, SunandaBiswas, Mandira Barman, AbirDey, Kaustav Aditya published online in Biotech articles.
  • Ahmad, Tauqueer and Choudhary, VanditaKumari(2015).Crop Cutting Experiments Technique; Reference manual, ICAR- IASRI, New Delhi.(250 pgs).
  • Choudhary, VanditaKumari,Singh, Deepak and Basak, Pradip(2017). Reference manual, ICAR- IASRI, New Delhi. (124 pgs).

Awards and Patents

Awards

  • DrKaustav Aditya received the “KrishiVigyanGourav” Award of 2017 from BhartiyaKrishiAnusandhanSamiti and KrishiAnusandhan Sanchar Kendra (ARCC), Karnal-132001.
  • Dr Pradip Basak received M. K. Bose award for being the best student in Ph.D.(Agricultural Statistics) at ICAR-IASRI during 2013-2016 at the Annual Day of the Institute on 3rd July, 2017.
  • Jawaharlal Nehru Award of ICAR in the field of Agricultural Statistics
  • Young Scientist Award of Indian Society of Agricultural Statistics (ISAS)

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. Training Course Title Year Target group
1. International 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, 1996

Participants from Afro-Asian Countries
2. Commonwealth Training Programme on “Agricultural Sample Surveys, crop Yield Modelling and Computer Programming” 17 Mar-30 Apr, 1992 Participants from Commonwealth Countries
3. Remote Sensing and GIS Applications

(Course Co-ordinator – Dr Randhir Singh, Asstt. Course Co-ordinator – Dr Anil Rai)

11-21 Jan, 1999 Officials from Nigerian Government
4. Training Programme/Study Tour (Funded by FAO)

(Course Director – Dr HVL Bathla,Associate Course Director – Dr KK Tyagi)

13-27 Apr, 2001 Participants from Eritrea, Asmara
5. Workshop 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, 2001 Participants from Bangladesh, Bhutan, Cambodia, Islamic Republic of Iran, Laos, Nepal, Pakistan, Sri Lanka and India
6. An International study tour/Training Programme on “Development of Agricultural Statistics System”- sponsored by Food & Agriculture Organisation.

(Course Director – Dr HVL Bathla)

06-11 Mar, 2006 Participants from Timor Leste
7. International Training Programme for Malaysian Delegates. 01-05 Aug, 2006 Malaysian Delegates
8. A Study Visit for the International Participants from Afghanistan” sponsored by FAO

(Course Director – Dr HVL Bathla)

10– 29 December, 2007 Afghanistan nationals
9. Study 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, 2008 Afghanistan nationals
10. An 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, 2010 Officials of SAARC countries
11. An 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, 2011 Officers of Census and Statistics Department Colombo, Srilanka
12. Assisted 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 Delhi 03-08 Oct, 2011 Officers of Srilanka Government
13. An 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, 2012 Afro-Asian Rural Development Organizations (AARDO) member countries
14. An 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, 2012 Officials of the Ethiopian Central Statistical Agency
15. An 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, 2013 Afro-Asian Rural Development Organizations (AARDO) member countries
16. Study 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, 2013 Officials of DPR Korea
17. International 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, 2015 Afro-Asian Rural Development Organizations (AARDO) member countries
18. International training programme on “Use of Models in Crop Yield Estimation”

(Course Director – Dr Hukum Chandra, Co-Course Director – ShRaju Kumar)

02-06 Nov, 2015 Officers from SAARC countries funded by National Statistical System Training Academy (NSSTA), Central Statistics Office, Ministry of Statistics & Programme Implementation, Government of India, New Delhi
19. International training programme on “Sampling Methodology, Field Organisation and Data Quality”

(Course Director – Dr.Tauqueer Ahmad, Co-Course Director – Dr Hukum Chandra)

April 17-21, 2017 Officials of Central Statistical Agency (CSA), Ethiopia.
20. International training programme on “Sampling Methodology, Field Organisation and Data Quality”

(Course Director – Dr.Tauqueer Ahmad, Co-Course Director – Dr Hukum Chandra)

May 01-05, 2017 Officials of Central Statistical Agency (CSA), Ethiopia.
21. International 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, 2017 African-Asian Rural Development Organization (AARDO) member countries

 

2)    National

S.N. Training Course Title Year Target group
1. Models in Survey Sampling 20-24 Dec, 1993 Associate/Asstt. Professor from SAU’s/Scientists from ICAR Institutes
2. Modern Sampling Techniques

(Course Director – Dr AK Srivastava, Associate Course Director – Dr HVL Bathla)

13-17 Oct, 1997 Senior/Middle level ISS Officers from CSO/NSSO
3. CAS Training programme on “Recent Advances in Survey Sampling in Relation to Agriculture”

(Course Director – Dr AK Srivastava)

08-22 Jun, 1998 Associate/Asstt. Professor from SAU’s/Scientists from ICAR Institutes
4. Recent Advances in the Analysis of Survey Data

(Course Director – Dr AK Srivastava, Associate Course Director – Dr KK Tyagi)

24-29 Aug, 1998 Senior/Middle level ISS Officers from CSO/NSSO
5. Methodological Aspects in Sample Surveys

(Course Director – Dr HVL Bathla, Associate Course Director – Dr BC Saxena)

08-13 Mar, 1999 Senior/Middle level ISS Officers from CSO/NSSO
6. Small Area Estimation-Theory and Applications

(Course Director – Dr AK Srivastava, Associate Course Director – Dr UC Sud)

22-27 Mar, 1999 Senior/Middle level ISS Officers from CSO/NSSO
7. Qualitative Aspects in Collection and Analysis of Survey Data

(Dr Randhir Singh)

09-14 Aug, 1999 Senior/Middle level ISS Officers from CSO/NSSO
8. Winter 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, 1999 Associate/ Asstt. Professors from SAU’s/ Scientists from ICAR Institutes
9. Computer Intensive Techniques in Agricultural Surveys

(Course Director – Dr Randhir Singh, Co-Course Director – Dr Anil Rai)

20 Jan–04 Feb, 2000 Associate/ Asstt. Professors from SAU’s/ Scientists from ICAR Institutes
10. Recent Advances in the Analysis of Survey Data

(Course Director – Dr HVL Bathla, Associate Course Director – Dr KK Tyagi)

06-26 Feb, 2001 Scientists / Faculty Members of National Agricultural Research System
11. Sample Surveys related to the estimation of area and production of fruits and vegetables.

(Course Director – Dr UC Sud)

22-25 Aug, 2001 Officials from Department of Horticulture, Govt. of Haryana
12. Small Area Estimation Techniques in Agriculture

(Course Director – Dr UC Sud)

13-23 May, 2002 Associate/ Asstt. Professors from SAU’s/ Scientists from ICAR Institutes
13. Summer school on “Application of Remote Sensing and GIS in Agricultural Statistics”

(Course Director – Dr Randhir Singh)

06-26 Aug, 2003 Scientists/Assistant/Associate Professors from ICAR Institutes and State Agricultural Universities
14. A 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, 2003 Scientists/Assistant/Associate Professors from ICAR Institutes and State Agricultural Universities
15. A 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, 2004 Senior level Officers of Tariff Commission, Ministry of Commerce & Industry, Govt. of India
16. A Winter School on “Sample Survey Techniques in Agricultural Research”

(Course Director – Dr K.K. Tyagi)

11-31 Jan, 2005 Assistant / Associate Professors from SAUs and Scientists from ICAR Institutes
17. A 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, 2005 Indian Statistical Services (ISS) Officers
18. A CAS sponsored Training Programme on “Recent Advances in the Analysis of Survey Data”

(Course Director – Dr K.K. Tyagi)

18 Nov–08 Dec, 2005 Scientists / Asstt. / Assoc. Prof. of various SAUs under National Agricultural Research System
19. A training programme on “Small Area Estimation Techniques”

(Course Director – Dr HVL Bathla)

10-15 Jul, 2006 Senior level Officers of Tariff Commission, Ministry of Commerce & Industry, Govt. of India
20. Summer school on “Sample Survey Techniques in Agricultural Research”

(Dr KK Tyagi – Course Director)

05 – 25 Sep, 2006 Scientists/Assistant/Associate Professors from ICAR Institutes and State Agricultural Universities
21. Winter School on “Sample Survey Techniques in Agricultural Research”

(Course Director – Dr KK Tyagi)

16 Jan to 05 Feb, 2008 Scientists/Assistant/Associate Professors from ICAR Institutes and State Agricultural Universities
22. A 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, 2009 Scientists / Asstt. / Assoc. Prof. of various SAUs under National Agricultural Research System
23. A 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, 2010 Indian Statistical Services and other senior officers of States/UTs
24. A 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, 2010 Indian Statistical Service (ISS) officers and statistical personnel
25. A 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, 2010 Statistical Personnel of States/UTs/PSUs of MOSPI, GOI
26. A 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, 2010 In-service ISS officers and senior officers of State Govts./UTs
27. A 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, 2011 Officers of Directorate of Economics & Statistics of different States
28. CAFT 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, 2012 Scientists of ICAR Institutes/Asstt-Associate Professors of SAUs
29. Refresher training programme on “Agricultural Statistics”

(Course Director – Dr KK Tyagi, Co-Course Director – Dr Tauqueer Ahmad)

30 Oct to 02   Nov, 2012 Officers from the Department of Agriculture, Government of Andhra Pradesh State
30. Refresher Course on “Small Area Estimation”

(Course Director – Dr UC Sud, Co-Course Director – Dr Hukum Chandra)

03 – 08 Dec, 2012 In- Service Officers of Indian Statistical Service at IASRI, New Delhi
31. Refresher training program on “Integrated Sample Survey Methodology”

(Course Director – Dr Hukum Chandra, Co-Course Director – Dr Kaustav Aditya)

20-24 Jan, 2014 Participants of Department of Animal husbandry, Dairying & Fisheries, Ministry of Agriculture, Govt. of India
32. Refresher training program on “Integrated Sample Survey Methodology”

(Course Director – Dr Hukum Chandra, Co-Course Director – Dr Kaustav Aditya)

03-07 Mar, 2014 Participants of Department of Animal husbandry, Dairying & Fisheries, Ministry of Agriculture, Govt. of India
33. Refresher training program on “Statistical techniques”

(Course Director – Dr Hukum Chandra, Co-Course Director – Dr AK Gupta)

08-12 Sep, 2014 Participants of Statistical Staff of Livestock Development Department, Govt. of Chhattisgarh
34. CAFT 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, 2014 Scientists of ICAR Institutes/Asstt-Associate Professors of SAUs
35. Refresher training programme on “Integrated Sample Survey Methodology”

(Course Director – Dr Hukum Chandra, Co-Course Director – Dr Kaustav Aditya)

08-12 Jun, 2015 Participants of the Department of Animal Husbandry, Dairying & Fisheries, Ministry of Agriculture, Government of India
36. A refresher training programme on “Sample Survey and Sampling Design”

(Course Director – DrTauqueer Ahmad, Co-Course Director – Dr AnkurBiswas)

06-10 Jul, 2015 Officials of the Directorate of Economics and Statistics, Department of Planning, Government of Uttar Pradesh
37. Training programme on “Small Area Estimation Techniques”

(Course Director – Dr Hukum Chandra, Co-Course Director – Dr Kaustav Aditya)

24-28 Aug, 2015 Statistical Personnel of the Directorate of Economics and Statistics (DES), Department of Planning, Government of Uttar Pradesh
38. Training programme on “Crop Cutting Experiments Technique”

(Course Director – Dr Tauqueer Ahmad, Co-Course Director – Ms. VanditaKumariChoudhary)

14-19 Sep, 2015 Officials of Skymet Weather Services Private Ltd., Noida
39. Refresher 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, 2015 ISS officers of Central Statistics Office, Ministry of Statistics &Programme Implementation, Government of India
40. CAFT 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, 2017 Scientists of ICAR Institutes/Asstt-Associate Professors of SAUs
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