Dr. Suparna Basu obtained BSc (Hons.) in Statistics from University of Calcutta in 2011, M.Sc. in Statistics from Banaras Hindu University in 2013. She obtained PhD in statistics in the 2018 from Banaras Hindu University under the supervision of Prof. Sanjay K. Singh. She was awarded with the BHU-CRET Fellowship, UGC-NET Junior Research Fellowship (JRF) and BSR-JRF during her PhD, although she had availed only the first two. Her thesis work was directed towards estimation techniques for various Time censored situations encountered in life-testing problems for two heavy-tailed distributions. Her research works have been published in journals of international repute. Dr. Basu has served as an Assistant Professor in the University of Burdwan during Feb. 2016 – Dec. 2019 and taught several courses to M.Sc. (Statistics) students, in addition to administrative and research endeavors. Thereafter, she joined Banaras Hindu University and has been actively involved in teaching, research and administration. She was awarded with the IOE-BHU, start-up grant of Rs. 6 lakhs in July, 2020.
Location-shifted Weibull, Gamma and Generalized exponential distributions, fails to meet an important regularity condition of the support being independent of unknown parameters. This impedes derivation of estimation techniques, especially those based on likelihood function like globally consistent estimators for complete/censored situation or any testing criterion to discriminate suitability of two competing models. Dr. Basu would explore some robust statistical estimation techniques for such non-regular distributions and illustrate its applicability on real data sets during her postdoctoral stint supported by the Fulbright-Nehru Postdoctoral Research Fellowship.