A study of the effect of loss functions on the Bayes estimates of dynamic cumulative residual entropy for Pareto distribution under upper record values

DOI10.1080/00949655.2015.1007986OpenAlexW2163406264MaRDI QIDQ5222336

G. Rajesh, K. R. Renjini, Enchakudiyil Ibrahim Abdul Sathar

Publication date: 1 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2015.1007986

zbMATH Keywords

Bayesian estimationpriorsupper record valuesloss functionsdynamic cumulative residual entropy

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (6)

Dynamic cumulative residual Rényi entropy for Lomax distribution: Bayesian and non-Bayesian methods ⋮ Bayesian inference of dynamic cumulative residual entropy from Pareto II distribution with application to COVID-19 ⋮ Classical estimation of hazard rate and mean residual life functions of Pareto distribution ⋮ A study on comparisons of Bayesian and classical parameter estimation methods for the two-parameter Weibull distribution ⋮ E-Bayesian estimations for the cumulative hazard rate and mean residual life based on exponential distribution and record data ⋮ Bayes estimation of dynamic cumulative residual entropy for Pareto distribution under type-II right censored data

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