| Statistical modeling for wheat (Triticum aestivum) crop production R Arunachalam, V Balakrishnan International journal of statistics and applications 2 (4), 40-46, 2012 | 20 | 2012 |
| Modified one-parameter Lindley distribution and its applications S Karuppusamy, V Balakrishnan, K Sadasivan Int. J. Eng. Res. Appl 8 (1), 50-56, 2018 | 9 | 2018 |
| Outlier detection in simple linear regression models and robust regression-a case study of wheat production data A Rajarathinam, B Vinoth Statistics 3, 531-535, 2014 | 7 | 2014 |
| Improved second-degree Lindley distribution and its applications S Karuppusamy, V Balakrishnan, K Sadasivan IOSR J. Math 13 (6), 1-10, 2018 | 6 | 2018 |
| Physico-chemical characteristics of drinking water samples of Palani, Tamil Nadu. V Balakrishnan, S Karuppusamy | 5 | 2005 |
| Nonlinear regression and artificial neural network based model for forecasting Paddy (Oryza sativa) production in Tamil Nadu B Vinoth, A Rajarathian, SK Manju Bargavi IOSR Journal of Mobile Computing & Application (IOSR-JMCA) 3 (3), 1-6, 2016 | 3 | 2016 |
| Computations of jump points in tobacco (Nicotiana tabacum) crop production A Rajarathinam, B Vinoth Int. J. Prob. Stat 2 (2), 13-20, 2013 | 3 | 2013 |
| MODELING AND POTENTIAL PROGNOSIS OF THE NUMBER OF CASES COVID-19 PANDEMIC WITH LINEAR, NONLINEAR REGRESSION MODELS AND ARTIFICIAL NEURAL NETWORK MODELS V Balakrishnan, L Sebastian, S Rita Advances and Applications in Mathematical Sciences, 2313-2331, 2021 | | 2021 |
| Trends and Growth Rate Analyses of Gram Production–A Data Driven Approach V Balakrishnan, L Sebastian, R Arunachalam Kristu Jayanti Journal of Computational Sciences (KJCS), 43-57, 2021 | | 2021 |
| Trends, Growth Rate and Jump Point Analyses for the area, production and productivity of Mustard (Brassica juncea L. Czern.) crops R Arunachalam, V Balakrishnan Journal of Statistics and Applications 6 (3/4), 159, 2011 | | 2011 |
Rajarathinam AManonmaniam Sundaranar UniversityVerified email at msuniv.ac.in
