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Bayesian Estimation of 3-Component Mixture by HARSH TRIPATHI is a document available to read on EtoBox.

What is Bayesian Estimation of 3-Component Mixture about?

This paper discusses the Bayesian estimation of a 3-component mixture of generalized exponential distribution, focusing on maximum likelihood estimation and Bayesian analysis using type-I right censored data. It employs Monte Carlo simulations to compare Bayes estimates with maximum likelihood estimates across various sample sizes and loss functions. The study highlights the effectiveness of the generalized exponential distribution in lifetime modeling and provides insights into the performance of different

Author
HARSH TRIPATHI
Language
EN

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