A problem in accelerated life testing

Nozer D. Singpurwalla

doi:10.1080/01621459.1971.10482355

A problem in accelerated life testing

Nozer D. Singpurwalla

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

16 Citations (Scopus)

Abstract

Parameters of the Power Rule Model are estimated using data from censored sample life tests conducted at accelerated environments. By amending the functional form of the model, it is possible to obtain estimators that are asymptotically independent. The asymptotic normality of these estimators is ascertained by examining the shapes of their relative likelihood functions. Approximate confidence intervals, and an exact plausibility interval for the mean life (exponential case) at use conditions environment are obtained. © Taylor & Francis Group, LLC.

Original language	English
Pages (from-to)	841-845
Journal	Journal of the American Statistical Association
Volume	66
Issue number	336
DOIs	https://doi.org/10.1080/01621459.1971.10482355
Publication status	Published - Dec 1971
Externally published	Yes

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title = "A problem in accelerated life testing",

abstract = "Parameters of the Power Rule Model are estimated using data from censored sample life tests conducted at accelerated environments. By amending the functional form of the model, it is possible to obtain estimators that are asymptotically independent. The asymptotic normality of these estimators is ascertained by examining the shapes of their relative likelihood functions. Approximate confidence intervals, and an exact plausibility interval for the mean life (exponential case) at use conditions environment are obtained. {\textcopyright} Taylor \& Francis Group, LLC.",

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year = "1971",

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journal = "Journal of the American Statistical Association",

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TY - JOUR

T1 - A problem in accelerated life testing

AU - Singpurwalla, Nozer D.

PY - 1971/12

Y1 - 1971/12

N2 - Parameters of the Power Rule Model are estimated using data from censored sample life tests conducted at accelerated environments. By amending the functional form of the model, it is possible to obtain estimators that are asymptotically independent. The asymptotic normality of these estimators is ascertained by examining the shapes of their relative likelihood functions. Approximate confidence intervals, and an exact plausibility interval for the mean life (exponential case) at use conditions environment are obtained. © Taylor & Francis Group, LLC.

AB - Parameters of the Power Rule Model are estimated using data from censored sample life tests conducted at accelerated environments. By amending the functional form of the model, it is possible to obtain estimators that are asymptotically independent. The asymptotic normality of these estimators is ascertained by examining the shapes of their relative likelihood functions. Approximate confidence intervals, and an exact plausibility interval for the mean life (exponential case) at use conditions environment are obtained. © Taylor & Francis Group, LLC.

UR - https://www.scopus.com/pages/publications/0342368976

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0342368976&origin=recordpage

U2 - 10.1080/01621459.1971.10482355

DO - 10.1080/01621459.1971.10482355

M3 - RGC 21 - Publication in refereed journal

SN - 0162-1459

VL - 66

SP - 841

EP - 845

JO - Journal of the American Statistical Association

JF - Journal of the American Statistical Association

IS - 336

ER -

A problem in accelerated life testing

Abstract

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