To survive or to fail : That is the question

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

8 Scopus Citations
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Author(s)

  • Patricia S. Abel
  • Nozer D. Singpurwalla

Detail(s)

Original languageEnglish
Pages (from-to)18-21
Journal / PublicationAmerican Statistician
Volume48
Issue number1
Publication statusPublished - Feb 1994
Externally publishedYes

Abstract

A question that naturally arises in life testing is the following: “During the conduct of the test, what would you rather observe, a failure or a survival?” Most people answer this question by saying failure, because intuitively, failures are presumed to provide more information about the parameters of a failure model than survivals. The aim of this article is to point out that such intuition could be misleading and that the answer depends on the particular parameterization that is chosen. The argument is made through the use of Shannon’s measure of information in an experiment, with the exponential as an example. © 1994 Taylor & Francis Group, LLC.

Research Area(s)

  • Accelerated testing, Censoring, Entropy, Exponential distribution, Fisher information, Life testing, Parameterization, Shannon information, Uncertainty

Citation Format(s)

To survive or to fail: That is the question. / Abel, Patricia S.; Singpurwalla, Nozer D.
In: American Statistician, Vol. 48, No. 1, 02.1994, p. 18-21.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review