Bayesian Approach: Chen Distribution Analysis For Record Values Through MCMC Techniques

Bayesian Approach: Chen Distribution Analysis For Record Values Through MCMC Techniques
Author(s):
Sabhiya Singh, Prof. Rajeev Pandey
Keywords:
Chen distribution, Record Values, Bayesian Estimation, Simulation and MCMC Techniques.
Abstract
The Bayes estimate of the Chen distribution’s unknown parameters when the data is upper in record values. We present the Bayes estimators and assume Jeffrey’s priors on the unknown parameters based on the squared error loss function. Bayes estimators can be generated using numerical integration, but they cannot be obtained explicitly. As a result, we generated a posterior sample using the MCMC method. The evaluation of the results is summarized through a real data.
Article Details
Unique Paper ID: 163915 Publication Volume & Issue: Volume 10, Issue 12 Page(s): 45 - 47
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