SOME BAYESIAN APPROACHES FOR ESTIMATING THE FAILURE RATE.
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Author(s)
Detail(s)
| Original language | English |
|---|---|
| Title of host publication | NATO ASI Series, Series F: Computer and Systems Sciences |
| Publisher | Springer-Verlag |
| Pages | 75-92 |
| ISBN (print) | 3540122877 |
| Publication status | Published - 1983 |
| Externally published | Yes |
Publication series
| Name | |
|---|---|
| ISSN (electronic) | 0258-1248 |
Link(s)
Abstract
In this paper we discuss several Bayesian approaches for estimating the failure rate function when no a priori assumption is made about the parametric family of the underlying life distribution. Our results are based on an extension of the existing Bayesian estimates of the cumulative distribution function, which have recently appeared in the literature. In the sequel, we introduce and review the Dirichlet process, the gamma process, and Processes Neutral to the Right, and point out their relevance and usefulness for the problem at hand.
Citation Format(s)
SOME BAYESIAN APPROACHES FOR ESTIMATING THE FAILURE RATE. / Mazzuchi, Thomas A.; Singpurwalla, Nozer D.
NATO ASI Series, Series F: Computer and Systems Sciences. Springer-Verlag, 1983. p. 75-92.
NATO ASI Series, Series F: Computer and Systems Sciences. Springer-Verlag, 1983. p. 75-92.
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
