Nonparametric Estimation and Goodness-of-Fit Testing of Hypotheses for Distributions in Accelerated Life Testing
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Detail(s)
| Original language | English |
|---|---|
| Pages (from-to) | 69-74 |
| Journal / Publication | IEEE Transactions on Reliability |
| Volume | R-31 |
| Issue number | 1 |
| Publication status | Published - Apr 1982 |
| Externally published | Yes |
Link(s)
Abstract
This paper presents a nonparametric approach to accelerated life testing by deleting the requirement that the common parametric family of life distributions under all the stresses be specified in advance. The requirement that the time transformation function be specified is retained, and a version of the familiar inverse power law is considered. A s-consistent estimate of the failure distribution at use stress, and a test of the hypothesis that the underlying failure distribution belongs to a specified family are given. Approximate s-confidence bounds for the failure distribution at use stress are obtained. The approach is illustrated in an example using real data. Copyright © 1982 by The Institute of Electrical and Electronics Engineers, Inc.
Research Area(s)
- Accelerated life tests, Nonparametric methods, Power rule, Testing hypotheses, Time transformations, Uniform s-confidence bounds
Citation Format(s)
Nonparametric Estimation and Goodness-of-Fit Testing of Hypotheses for Distributions in Accelerated Life Testing. / Shaked, Moshe; Singpurwalla, Nozer D.
In: IEEE Transactions on Reliability, Vol. R-31, No. 1, 04.1982, p. 69-74.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
