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

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A Correction to this article was published on 18 April 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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Change history

  • 18 April 2020

    In the original publication of the article the ORCID ID of the co-author Amal S. Hassan has been published incorrectly

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Author information

Authors and Affiliations

  1. Faculty of Graduate Studies for Statistical Research, Cairo University, Giza, Egypt

    Amal S. Hassan

  2. Faculty of Business Administration and International Marketing, Sinai University, North Sinai, Egypt

    Said G. Nassr

  3. Department of Statistics, Siliguri College, North Bengal University, Siliguri, 734 001, India

    Sukanta Pramanik

  4. Department of Statistics, Visva-Bharati University, Santiniketan, 731 235, India

    Sudhansu S. Maiti

Authors
  1. Amal S. Hassan
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  2. Said G. Nassr
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  3. Sukanta Pramanik
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  4. Sudhansu S. Maiti
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Corresponding author

Correspondence to Said G. Nassr.

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Hassan, A.S., Nassr, S.G., Pramanik, S. et al. Estimation in Constant Stress Partially Accelerated Life Tests for Weibull Distribution Based on Censored Competing Risks Data. Ann. Data. Sci. 7, 45–62 (2020). https://doi.org/10.1007/s40745-019-00226-3

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  • DOI: https://doi.org/10.1007/s40745-019-00226-3

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