Estimation in Constant Stress Partially Accelerated Life Tests for Weibull Distribution Based on Censored Competing Risks Data

Amal S. Hassan, Said G. Nassr (), Sukanta Pramanik and Sudhansu S. Maiti
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Amal S. Hassan: Cairo University
Said G. Nassr: Sinai University
Sukanta Pramanik: North Bengal University
Sudhansu S. Maiti: Visva-Bharati University

Annals of Data Science, 2020, vol. 7, issue 1, No 4, 45-62

Abstract: Abstract This article deals with the constant–stress partially accelerated life test using type I and type II censored data in the presence of competing failure causes. Suppose that the occurrence time of the failure cause follows Weibull distribution. Maximum likelihood technique is employed to estimate the population parameters of the distribution. The performance of the theoretical estimators of the parameters are evaluated and investigated by using a simulation algorithm.

Keywords: Step stress partially accelerated life tests; Weibull distribution; Censored competing risks data; Maximum likelihood estimation (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (6)

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DOI: 10.1007/s40745-019-00226-3

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