Bhar, L. M. and Sankalpa Ojha (2017): Influence Measures in Blocked Designs of Experiments with Correlated Errors, Communications in Statistics – Theory and Methods, 46 (5), 2411-2434.
Bhar, L. M. (2016). Efficient block designs for symmetric parallel line assays, Cogent Mathematics, 3(1), 1 – 11.
Bhar, L. M. (2013). A diagnostic tool for detecting outliers in experimental data, Model Assisted Statistics and Applications, 8(1),61-68.
Bhar, L. M. (2013). Robustness of Variance Balanced Block Designs. Sankhya B. DOI: 1007/s13571-013-0073-4.
Bhar, L. M. and Dey, A. (2003). Robustness of nested balanced incomplete block designs against missing data. Journal of Indian Society of Agricultural Statistics, 56(1), 25 – 38.
Bhar, L. M. and Gupta, V. K. (2003). Study of outliers under variance – inflation model in experimental designs. Journal of Indian Society of Agricultural Statistics, 56(2), 142 – 154.
Bhar, L. M. and Amitava Dey(2003). Robustness of Block Designs for Diallel Crosses Against Missing Data. Communications in Statistics – Theory and Methods, 32(1), 193 –213.
Bhar, L. M. and Amitava Dey (2002). Triallel-Cross Block Designs That Are Robust Against Missing observations. Utilitas Mathematica, 65, 231-242.
Bhar, L. M. and V. K. Gupta (2002). Robust Row-Column Designs for Complete Diallel Cross Experiments. Metrika, 56, 83 – 90.
Bhar, L. M. and Gupta, V. K. (2001). A useful statistic for studying outliers in experimental designs. Sankhya, B63, 338-350.
Gupta, V. K., Prasad, R., Bhar, L. M. and Mandal, B. N. (2016). Statistical Analysis of Agricultural Experiments (Part-I; Single Factor Experiments). ICAR-Indian Agricultural Statistics Research Institute, New Delhi. ISBN Number: 987-93- 5265-859-6
Sud, U. C., Hukum Chandra, Bhar, L. M. and Sarkar, S. K. (2015). Statistics and Informatics in Agricultural Research. Published by Indian Society of Agricultural Statistics.
Bhar, L. M. (2015). Regression analysis diagnostics and remedial measures. pp. 245-270 In: Rajni Jain and S S Raju Edition. Decision support system in agriculture using quantitative analysis, Agrotech Publishing Academy, ISBN: 978-81-8321-395-0