Competing Risk Analysis in Constant Stress Partially Accelerated Life Tests Under Censored Information

Intekhab Alam (), Sadia Anwar (), Lalit Kumar Sharma () and Aquil Ahmed ()
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Intekhab Alam: St. Andrews Institute of Technology & Management
Sadia Anwar: Prince Sattam bin Abdulaziz University
Lalit Kumar Sharma: St. Andrews Institute of Technology & Management
Aquil Ahmed: Aligarh Muslim University

Annals of Data Science, 2023, vol. 10, issue 5, No 10, 1379-1403

Abstract: Abstract A constant-stress partially accelerated life test (CSPALT) is the most widespread type where each examination unit is subjected to only one chosen stress level until its failure or the termination of the experiment, whichever occurs first. This paper presents the CSPALT with Type-I and -II censoring schemes in the occurrence of competing failure causes when the lifetime of test units follows the two-parameter Fréchet distribution. The lifetime of test units follows the two-parameter Fréchet distribution. The maximum likelihood method is used to estimate the parameters of the failure distribution. The Fisher Information Matrix and variance–covariance matrix are also assembled. Furthermore, a simulation technique is applied to investigate the performance of the theoretical estimators of the parameters.

Keywords: Constant stress; Partially accelerated life tests; Competing risk; Type-I censoring; Type-II censoring; Fréchet distribution; Simulation technique (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s40745-022-00401-z

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