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Exchange of censorship types and its impact on the estimation of parameters of a Weibull Regression model

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1 Author(s)
Bugaighis, M.M. ; Dept. of Math., Moravian Coll., Bethlehem, PA, USA

The objective of this paper is to examine whether treating failure times, actually derived under type-I censorship, but treated as though type-II censorship were used, leads to important reduction in efficiency of the maximum likelihood (ML) estimators of the parameters of a Weibull Regression model, frequently used in accelerated life testing studies. This paper shows that exchange of censorship types results in minor reduction in the efficiency of various estimators. Such a conclusion suggests that results obtained under type-II censorship apply to corresponding (in terms of number of observed failures) type-I situations. The only exception to this general rule occurs when the number of test items at each level of stress drops below 5

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Reliability, IEEE Transactions on  (Volume:44 ,  Issue: 3 )