On selection of optimal stochastic model for accelerated life testing

Result code in IS VaVaI

RIV/67985556:_____/14:00444111 - isvavai.cz

Result on the web

http://dx.doi.org/10.1016/j.ress.2014.04.015

DOI - Digital Object Identifier

10.1016/j.ress.2014.04.015

Result language

angličtina

Original language name

On selection of optimal stochastic model for accelerated life testing

Original language description

This paper deals with the problem of proper lifetime model selection in the context of statistical reliability analysis. Namely, we consider regression models describing the dependence of failure intensities on a covariate, for instance a stressor. Testing the model fit is standardly based on the so-called martingale residuals. Their analysis has already been studied by many authors. Nevertheless, the Bayes approach to the problem is just developing. We shall present the Bayes procedure of stimation inseveral semi-parametric regression models of failure intensity. Then, our main concern is the Bayes construction of residual processes and goodness-of-fit tests basedon them.

Czech name

—

Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

BB - Applied statistics, operational research

OECD FORD branch

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Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2014

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Reliability Engineering & System Safety

ISSN

0951-8320

e-ISSN

—

Volume of the periodical

131

Issue of the periodical within the volume

1

Country of publishing house

US - UNITED STATES

Number of pages

7

Pages from-to

291-297

UT code for WoS article

000341466500030

EID of the result in the Scopus database

2-s2.0-84907360474