BAYESIAN ANALYSIS OF TOPP-LEONE EXPONENTIAL DISTRIBUTION WITH IDENTICAL PRIORS

This study focuses on estimating the shape and scale parameters of the Topp-Leone Exponential distribution. Bayes estimators are obtained using Exponential, Gamma, LogNormal, and Weibull distributions as the identical priors under asymmetric loss functions such as LINEX and Entropy and integrated with the Lindley approximation method. The simulation study was employed to determine identical prior and loss functions for the shape and scale parameters. It is observed that LINEX loss function with Exponential-Exponential prior for the shape parameter and the scale parameter Gamma-Gamma prior is most preferred for this distribution.

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Publication Details

Journal
JOURNAL OF MECHANICS OF CONTINUA AND MATHEMATICAL SCIENCES
Published
2024-12-12
DOI
https://doi.org/10.26782/jmcms.2024.12.00004
Primary Topic
Statistical Distribution Estimation and Applications
Type
article
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article

BAYESIAN ANALYSIS OF TOPP-LEONE EXPONENTIAL DISTRIBUTION WITH IDENTICAL PRIORS

R. K. Radha, D. Saridha
JOURNAL OF MECHANICS OF CONTINUA AND MATHEMATICAL SCIENCES
Statistical Distribution Estimation and Applications
article

BAYESIAN ANALYSIS OF TOPP-LEONE EXPONENTIAL DISTRIBUTION WITH IDENTICAL PRIORS

R. K. Radha, D. Saridha
article en

Abstract

This study focuses on estimating the shape and scale parameters of the Topp-Leone Exponential distribution. Bayes estimators are obtained using Exponential, Gamma, LogNormal, and Weibull distributions as the identical priors under asymmetric loss functions such as LINEX and Entropy and integrated with the Lindley approximation method. The simulation study was employed to determine identical prior and loss functions for the shape and scale parameters. It is observed that LINEX loss function with Exponential-Exponential prior for the shape parameter and the scale parameter Gamma-Gamma prior is most preferred for this distribution.

JOURNAL OF MECHANICS OF CONTINUA AND MATHEMATICAL SCIENCESVol. 19(12)
Openalex Percentile: Top 76%
Statistical Distribution Estimation and Applications
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