Title
Bayesian Life Test Planning for Log-Location-Scale Family of Distributions
Campus Units
Statistics
Document Type
Article
Publication Version
Accepted Manuscript
Publication Date
2015
Journal or Book Title
Journal of Quality Technology
Volume
47
Issue
4
First Page
336
Last Page
350
DOI
10.1080/00224065.2015.11918138
Abstract
This paper describes Bayesian methods for life test planning with censored data from a log-location-scale distribution when prior information of the distribution parameters is available. We use a Bayesian criterion based on the estimation precision of a distribution quantile. A large-sample normal approximation gives a simplified, easy-to-interpret, yet valid approach to this planning problem, where in general no closed-form solutions are available. To illustrate this approach, we present numerical investigations using the Weibull distribution with type II censoring. We also assess the effects of prior distribution choice. A simulation approach of the same Bayesian problem is also presented as a tool for visualization and validation. The validation results generally are consistent with those from the large-sample approximation approach.
Copyright Owner
Taylor & Francis
Copyright Date
2015
Language
en
File Format
application/pdf
Recommended Citation
Hong, Yili; King, Caleb; Zhang, Yao; and Meeker, William Q., "Bayesian Life Test Planning for Log-Location-Scale Family of Distributions" (2015). Statistics Publications. 275.
https://lib.dr.iastate.edu/stat_las_pubs/275
Comments
This is an Accepted Manuscript of an article published by Taylor & Francis as Hong, Yili, Caleb King, Yao Zhang, and William Q. Meeker. "Bayesian life test planning for log-location-scale family of distributions." Journal of Quality Technology 47, no. 4 (2015): 336-350. DOI: 10.1080/00224065.2015.11918138. Posted with permission.