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IEEE Transactions on Reliability
Article . 1987 . Peer-reviewed
License: IEEE Copyright
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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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A Preliminary Test Estimator of Reliability in a Life-Testing Model

A preliminary test estimator of reliability in a life-testing model
Authors: Chiou, Paul;

A Preliminary Test Estimator of Reliability in a Life-Testing Model

Abstract

This paper proposes a preliminary test estimator for the reliability of an exponential life-testing model. The optimum critical values for preliminary test and their corresponding levels of significance are obtained based on a minimax regret function.

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Keywords

optimum critical values, Reliability and life testing, bias, minimax regret function, preliminary test estimator, Point estimation, reliability of an exponential life-testing model, Parametric hypothesis testing, levels of significance, type II censored sample

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Top 10%
Average
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