Joined in the Department of Statistics, CUSAT.in 2001. Now Professor in Statistics since 2013. Area of Specialization is Distribution Theory, Reliability Modelling and Information Measures.

Distribution Theory, Information Measures, Nonparametric estimation, Reliability Modelling and Analysis

Publons	:	https://publons.com/researcher/4680218/sunoj-sm/
Scopus	:	https://www.scopus.com/authid/detail.uri?authorId=6507042917
Google Scholar	:	https://scholar.google.co.in/citations?user=ePVY4bcAAAAJ&hl=en&oi=ao

Kernel estimation of extropy function under length-biased sampling, Statistics and Probability Letters, Elsevier Vol. 181, 2022

Relation between Relative Hazard Rates and Residual Divergence with Some Applications to Reliability Analysis, Sankhya A, Springer 2022

Some properties of stop-loss moments under biased sampling, Journal of Applied Statistics, Taylor & Francis 2022

Bivariate residual entropy function: A quantile approach, Communications in Statistics-Theory and Methods, USA, Taylor and Francis 2022

Bivariate quantile-based entropy in past lifetime, Journal of the Indian Society for Probability and Statistics, Springer 2022

The bilinear mean residual quantile function, Communications in Statistics-Theory and Methods, Taylor & Francis 2022

Estimation of Shannon entropy in presence of length-bias and type I censoring, American Journal of Mathematical and Management Sciences, Taylor & Francis 2021

Kernel estimation of entropy function for length-biased censored data, Journal of the Indian Society for Probability and Statistics, Springer 2021

Cumulative residual entropy of equilibrium distribution of order n, Communications in Statistics-Theory and Methods, Taylor & Francis 2021

Nonparametric estimation of quanitle-based entropy function, Communications in Statistics-Simulation and Computation, Taylor & Francis 2021

Elected Member of ISI from International Statistical Institute, Netherlands, in the year 2018

M.Sc First Rank from University of Calicut, in the year 1994

AISHE Nodal Officer, CUSAT from All India Survey on Higher Education (AISHE), MHRD, Government of India, in the year 2015

RESEARCH PROJECTS

"Modelling and analysis of lifetime data using quantile-based measures" (SERB- 2020 -2023 , Total outlay Rs.660000)