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Burn-in and covariates

Published online by Cambridge University Press:  14 July 2016

Nader Ebrahimi*
Affiliation:
Northern Illinois University
*
Postal address: Division of Statistics, Northern Illinois University, DeKalb, IL 60115, USA. Email address: nader@math.niu.edu

Abstract

Burn-in is a widely used engineering procedure useful for eliminating ‘weak’ items and consequently improving the quality of remaining items. The quality of items can be measured via various performance characteristics. In the present paper we develop new performance criteria for the burn-in method. Our criteria not only take into account the reliability of an item, they also incorporate covariates.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 2004 

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