Noninformative priors for the ratio of the shape parameters of two Weibull distributions

Sang Gil Kang, Woo Dong Lee, Yongku Kim

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

The Weibull distribution is one of the most widely used lifetime distributions in reliability engineering. Here, the noninformative priors for the ratio of the shape parameters of two Weibull models are introduced. The first criterion used is the asymptotic matching of the coverage probabilities of Bayesian credible intervals with the corresponding frequentist coverage probabilities. We develop the probability matching priors for the ratio of the shape parameters using the following matching criteria: quantile matching, matching of the distribution function, highest posterior density matching, and matching via inversion of the test statistics. We obtain one particular prior that meets all the matching criteria. Next, we derive the reference priors for different groups of ordering. Our findings show that some of the reference priors satisfy a first-order matching criterion and the one-at-a-time reference prior is a second-order matching prior. Lastly, we perform a simulation study and provide a real-world example.

Original languageEnglish
Pages (from-to)35-50
Number of pages16
JournalComputational Statistics
Volume32
Issue number1
DOIs
StatePublished - 1 Mar 2017

Keywords

  • Matching prior
  • Ratio of shape parameters
  • Reference prior
  • Weibull distribution

Fingerprint

Dive into the research topics of 'Noninformative priors for the ratio of the shape parameters of two Weibull distributions'. Together they form a unique fingerprint.

Cite this