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Annals of Data Science

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01.07.2019

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

verfasst von: Amal S. Hassan, Said G. Nassr, Sukanta Pramanik, Sudhansu S. Maiti

Erschienen in: Annals of Data Science | Ausgabe 1/2020

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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.

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Nächster Artikel Statistical Modeling of Women Employment Status at Harari Region Urban Districts: Bayesian Approach

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Titel: Estimation in Constant Stress Partially Accelerated Life Tests for Weibull Distribution Based on Censored Competing Risks Data
verfasst von: Amal S. Hassan
Said G. Nassr
Sukanta Pramanik
Sudhansu S. Maiti
Publikationsdatum: 01.07.2019
Verlag: Springer Berlin Heidelberg
Erschienen in: Annals of Data Science / Ausgabe 1/2020
Print ISSN: 2198-5804
Elektronische ISSN: 2198-5812
DOI: https://doi.org/10.1007/s40745-019-00226-3

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