A Bayesian Analysis of the Rayleigh Life Time Model

نویسندگان

  • Muneeb Javed
  • Muhammad Saleem
چکیده

In this paper the Bayesian analysis for Rayleigh model assuming the uninformative (Jeffreys and Uniform) and informative conjugate (square root inverted gamma and two component square root inverted gamma mixture) priors is presented. The comparison is made on the basis of Bayes Estimates, posterior variances, credible intervals and highest posterior density regions for different sample sizes and parameter values. The Bayesian predictive intervals assuming informative priors are calculated for different combinations of the hyper-parameters to discover the range of hyper-parameters that leads towards more precise estimates of the parameters of interest.

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تاریخ انتشار 2013