Testing of hypotheses for distributions in accelerated life tests

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

18 Scopus Citations
View graph of relations

Author(s)

  • J. Sethuraman
  • Nozer D. Singpurwalla

Detail(s)

Original languageEnglish
Pages (from-to)204-208
Journal / PublicationJournal of the American Statistical Association
Volume77
Issue number377
Publication statusPublished - Mar 1982
Externally publishedYes

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.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review