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Prof. S.M.SUNOJ

Professor

Department of Statistics

Cochin University of Science and Technology
Kochi - 682022, Kerala, India

E-mail-

smsunoj@cusat.ac.in

Web Address

https://iqac.cusat.ac.in/Web/profile_view/147/Prof.S.M.SUNOJ



BRIEF BIO
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.

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

RESEARCH PROFILES
Publons : https://www.webofscience.com/wos/author/record/AAB-7505-2020
Scopus : https://www.scopus.com/authid/detail.uri?authorId=6507042917
Google Scholar : https://scholar.google.co.in/citations?user=ePVY4bcAAAAJ&hl=en&oi=ao

JOURNAL PUBLICATIONS (RECENT) [TOTAL PUBLICATIONS : 88]
  • On relative cumulative extropy, its residual (past) measures and their applications in estimation and testing, Journal of the Indian Society for Probability and Statistics, Springer 2024

  • Nonparametric estimation of aging intensity function for right censored dependent scheme, Journal of Statistical Computation and Simulation, Taylor and Francis 2024

  • A self-learning algorithm for identifying the leverage points in soil data using quantile regression 10 forests, Decision Analytics Journal, Elsevier Vol. 10, 2024

  • Estimation of Renyi Entropy for Lifetime Uncertainty, Journal of Statistical Computation and Simulation, Taylor and Francis 2023

  • A generalized additive hazards model for the analysis of lifetime data, Journal of the Indian Society for Probability and Statistics, Springer Vol. 24, 2023

  • Additive hazards quantile model, Metrika, Springer 2023

  • Survival copula entropy and dependence in bivariate distributions, REVSTAT-Statistical Journal, Instituo Nacional De Estatistica, Statistics Portugal 2023

  • Results and applications of a new inaccuracy measure based on cumulative Tsallis entropy, Communications in Statistics – Theory and Methods, Taylor and Francis 2023

  • Some reliability aspects of record values using quantile function, Communications in Statistics – Theory and Methods, Taylor and Francis 2023

  • Non-parametric entropy estimation of conditional distribution under right censored length-biased sample, Journal of Statistical Theory and Practice, Springer 2023

  • AWARDS AND HONOURS
  • 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)