Bayesian Estimators of Dynamic Cumulative Residual Entropy for Pareto Type II Distribution

Authors

DOI:

https://doi.org/10.26713/cma.v13i3.1890

Keywords:

Bayesian estimation, Pareto type II distribution, Loss functions, Priors, Fisher information matrix

Abstract

In this paper, Pareto type II distribution is used to propose Bayes estimator of dynamic cumulative residual entropy. To calculate posterior risks, various informative and non-informative priors are used. Using different loss functions, Bayes estimators and associated posterior risks for the distribution have been calculated. Numerical computation is carried out with the help of a real data
set. In the last, Monte Carlo Simulation study and Graphical analysis are also given along with the conclusion drawn.

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References

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Published

29-11-2022
CITATION

How to Cite

Savita, & Kumar, R. (2022). Bayesian Estimators of Dynamic Cumulative Residual Entropy for Pareto Type II Distribution. Communications in Mathematics and Applications, 13(3), 1013–1026. https://doi.org/10.26713/cma.v13i3.1890

Issue

Vol. 13 No. 3 (2022)

Section

Research Article

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