Dr. J. Prabhakara Naik
About
Research Area
Now I am working as a Associate Professor of Statistics in Department of Statistics, Ramanujan School of Mathematical Sciences, Pondicherry University, Puducherry. I joined in this department in January-2022. I have 14 years of Teaching experience. I started my Teaching Career as a Degree College Lecturer in Andhra Pradesh on Adhoc Basis from July-2008. In July-2013 I selected for the post of Lecturer in Grant in aid from Government of Andhra Pradesh.
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Teaching Experience
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Research (Guided & On-roll)
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Publications
Notable & Recent Publications
Dr. H. Ravi Sankar, Dr. Y.M. Chenna Reddy, Dr. A.V.S. Raghavaiah, Dr. J. Prabhakara Naik & N. Venkata Subbaiah, "A Study of the Relation Between the Infant Mortality rate and the Literacy rate by using Python", International Journal of Creative Research Thoughts (IJCRT), Vol.8, Issue 4, pp. 3478-3488, (2020), Impact Factor: 7.97
SS Rajkumar, C Mani, GSGN Anjaneyulu, A Chinna Kesavulu, P Srivyshnavi, J. Prabhakara naik & P Balasiddamuni, "Tests for parameter constancy and predictive acccuracy in linear model by using studentized residuals", International Journal of Statistics and Applied Mathematics, Vol.3, Issue.2, pp. 588-597, (2018), Impact Factor: 5.34
AK Nagaraju, C Dwarakanatha Reddy, R Abbaiah, N Ramesh Kumar, J Prabhakara Naik, P Srivyshnavi and P Balasiddamuni, "Testing linear restritions on parameter of linear model under heteroscedasticity", International Journal of Statistics and Applied Mathematics, Vol.3, Issue.1, pp. 65-78, (2018), Impact Factor: 5.34
J. Prabhakara Naik, T. Gangaram, R.V.S.S. Nagabhushana Rao, K. Vasu, G. Mokesh Rayalu, "Auto Regressive (AR) Models in Forecasting Methods", International Journal for Research in Applied Science & Engineering Technology, Vol.5, Issue. XII, pp. 1820-1826, (2017), Impact Factor: 6.887
R.V.S.S. Nagabhushana Rao, J. Prabhakara Naik, V. Munaiah, K. Vasu, G. Mokesh Rayalu, "Residual Measures for the Time Series Predictions" International Journal for Research in Applied Science & Engineering Technology, Vol.5, Issue. XII, pp. 1650-1657, (2017), Impact Factor: 6.887
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