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On cumulative information measures: properties, inferences and applications/ Siddhartha Chakraborty

By: Material type: TextTextPublication details: Kolkata: Indian Statistical Institute, 2023Description: x, 167 pagesSubject(s): DDC classification:
  • 23 SA.53 C426
Online resources:
Contents:
Introduction -- Generalized Weighted Survival and Failure Entropies and their Dynamic Versions -- Weighted cumulative Tsallis residual and past entropy measures -- On weighted cumulative Kullback-Leibler information with application in testing exponentiality -- Analysis and applications of cumulative residual extropy in system reliability and hypothesis testing problem -- On some weighted generalized extropy measures with applications -- Application of cumulative entropy measures in life testing -- Conclusions and future work
Production credits:
  • guided by Prof. Biswabrata Pradhan
Dissertation note: Thesis (Ph.D) - Indian Statistical Institute, 2023
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Thesis (Ph.D) - Indian Statistical Institute, 2023

Includes bibliography

Introduction -- Generalized Weighted Survival and Failure Entropies and their Dynamic Versions -- Weighted cumulative Tsallis residual and past entropy measures -- On weighted cumulative Kullback-Leibler information with application in testing exponentiality -- Analysis and applications of cumulative residual extropy in system reliability and hypothesis testing problem -- On some weighted generalized extropy measures with applications -- Application of cumulative entropy measures in life testing -- Conclusions and future work

guided by Prof. Biswabrata Pradhan

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