Testing of hypotheses for distributions in accelerated life tests
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Detail(s)
Original language | English |
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Pages (from-to) | 204-208 |
Journal / Publication | Journal of the American Statistical Association |
Volume | 77 |
Issue number | 377 |
Publication status | Published - Mar 1982 |
Externally published | Yes |
Link(s)
Abstract
In this paper we consider the problem of inference from accelerated life tests in which a common parametric family of life distributions at the different stress levels is not specified in advance. By assuming a time transformation function, which is a version of the familiar inverse power law, we give a procedure for testing hypotheses that the unknown distributions are specified members of a location-scale family. The behavior of the test procedure is indicated by some simulations. We illustrate the methodology with some real-life data. © 1982 Taylor & Francis Group, LLC.
Research Area(s)
- Accelerated tests, Dose response experiments, Nonparametric methods, Power rule, Reliability, Testing hypotheses
Citation Format(s)
Testing of hypotheses for distributions in accelerated life tests. / Sethuraman, J.; Singpurwalla, Nozer D.
In: Journal of the American Statistical Association, Vol. 77, No. 377, 03.1982, p. 204-208.
In: Journal of the American Statistical Association, Vol. 77, No. 377, 03.1982, p. 204-208.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review