A Comparison of Maximum Likelihood and Bayesian Estimators for the Three‐Parameter Weibull Distribution

Richard L. Smith and J. C. Naylor

Journal of the Royal Statistical Society Series C, 1987, vol. 36, issue 3, 358-369

Abstract: Maximum likelihood and Bayesian estimators are developed and compared for the three‐parameter Weibull distribution. For the data analysed in the paper, the two sets of estimators are found to be very different. The reasons for this are explored, and ways of reducing the discrepancy, including reparametrization, are investigated. Our overall conclusion is that there are practical advantages to the Bayesian approach.

Date: 1987
References: Add references at CitEc
Citations: View citations in EconPapers (60)

Downloads: (external link)
https://doi.org/10.2307/2347795

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bla:jorssc:v:36:y:1987:i:3:p:358-369

Ordering information: This journal article can be ordered from
http://ordering.onli ... 1111/(ISSN)1467-9876

Access Statistics for this article

Journal of the Royal Statistical Society Series C is currently edited by R. Chandler and P. W. F. Smith

More articles in Journal of the Royal Statistical Society Series C from Royal Statistical Society Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().