Sign in
Back
Bayesian prediction based on type-I censored data from a mixture of Burr type XII distribution and its reciprocal
Journal article   Peer reviewed

Bayesian prediction based on type-I censored data from a mixture of Burr type XII distribution and its reciprocal

K. E. Ahmad, Z. F. Jaheen and Heba S. Mohammed
Statistics (Berlin, DDR), Vol.46(6), pp.787-797
12/2012
DOI: https://doi.org/10.1080/02331888.2011.555550

Abstract

Markov chain Monte Carlo mixture of Burr type XII and its reciprocal one- and two-sample predictions type-I censoring
This paper is concerned with the problem of obtaining Bayesian prediction bounds of future observables from a finite mixture of Burr type XII distribution with its reciprocal based on type-I censored data. We consider the one-sample and two-sample prediction schemes using the Markov chain Monte Carlo algorithm. Numerical examples are given to illustrate the procedures and the accuracy of prediction intervals is investigated via extensive Monte Carlo simulation.

Metrics

1 Record Views

Details