Competing Risks in Accelerated Life Testing: A Study on Step-Stress Models with Tampered Random Variables

This study introduces a novel approach to accelerated life test experiments by examining competing risk factors using the Tampered Random Variable (TRV) model. This approach remains extensively unexplored in current research. The methodology is implemented for a simple step-stress life test (SSLT) m...

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Main Authors: Hanan Haj Ahmad, Ehab M. Almetwally, Dina A. Ramadan
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Axioms
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Online Access:https://www.mdpi.com/2075-1680/14/1/32
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author Hanan Haj Ahmad
Ehab M. Almetwally
Dina A. Ramadan
author_facet Hanan Haj Ahmad
Ehab M. Almetwally
Dina A. Ramadan
author_sort Hanan Haj Ahmad
collection DOAJ
description This study introduces a novel approach to accelerated life test experiments by examining competing risk factors using the Tampered Random Variable (TRV) model. This approach remains extensively unexplored in current research. The methodology is implemented for a simple step-stress life test (SSLT) model and accounts for various causes of failure. The Power Chris–Jerry (PCJ) distribution is utilized to model the lifetimes of units under different stress levels, incorporating unique shape parameters while maintaining a fixed-scale parameter. This study employs the TRV model to integrate constant tampering coefficients for each failure cause within step-stress data analysis. Maximum-likelihood estimates for model parameters and tampering coefficients are derived from SSLT data, and some confidence intervals are presented based on the Type-II censoring scheme. Furthermore, Bayesian estimation is applied to the parameters, supported by appropriate prior distributions. The robustness of the proposed method is validated through comprehensive simulations and real-world applications in different scientific domains.
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institution Kabale University
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spelling doaj-art-50b31c0ce53f4da58cfdcf481d5501352025-01-24T13:22:12ZengMDPI AGAxioms2075-16802025-01-011413210.3390/axioms14010032Competing Risks in Accelerated Life Testing: A Study on Step-Stress Models with Tampered Random VariablesHanan Haj Ahmad0Ehab M. Almetwally1Dina A. Ramadan2Department of Basic Science, The General Administration of Preparatory Year, King Faisal University, Hofuf 31982, Al-Ahsa, Saudi ArabiaDepartment of Mathematics and Statistics, Faculty of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 11432, Riyadh, Saudi ArabiaDepartment of Mathematics, Faculty of Science, Mansoura University, Mansoura 33516, EgyptThis study introduces a novel approach to accelerated life test experiments by examining competing risk factors using the Tampered Random Variable (TRV) model. This approach remains extensively unexplored in current research. The methodology is implemented for a simple step-stress life test (SSLT) model and accounts for various causes of failure. The Power Chris–Jerry (PCJ) distribution is utilized to model the lifetimes of units under different stress levels, incorporating unique shape parameters while maintaining a fixed-scale parameter. This study employs the TRV model to integrate constant tampering coefficients for each failure cause within step-stress data analysis. Maximum-likelihood estimates for model parameters and tampering coefficients are derived from SSLT data, and some confidence intervals are presented based on the Type-II censoring scheme. Furthermore, Bayesian estimation is applied to the parameters, supported by appropriate prior distributions. The robustness of the proposed method is validated through comprehensive simulations and real-world applications in different scientific domains.https://www.mdpi.com/2075-1680/14/1/32tampered random variablepower Chris–Jerryaccelerated life testingstep stressMLEBayes estimation
spellingShingle Hanan Haj Ahmad
Ehab M. Almetwally
Dina A. Ramadan
Competing Risks in Accelerated Life Testing: A Study on Step-Stress Models with Tampered Random Variables
Axioms
tampered random variable
power Chris–Jerry
accelerated life testing
step stress
MLE
Bayes estimation
title Competing Risks in Accelerated Life Testing: A Study on Step-Stress Models with Tampered Random Variables
title_full Competing Risks in Accelerated Life Testing: A Study on Step-Stress Models with Tampered Random Variables
title_fullStr Competing Risks in Accelerated Life Testing: A Study on Step-Stress Models with Tampered Random Variables
title_full_unstemmed Competing Risks in Accelerated Life Testing: A Study on Step-Stress Models with Tampered Random Variables
title_short Competing Risks in Accelerated Life Testing: A Study on Step-Stress Models with Tampered Random Variables
title_sort competing risks in accelerated life testing a study on step stress models with tampered random variables
topic tampered random variable
power Chris–Jerry
accelerated life testing
step stress
MLE
Bayes estimation
url https://www.mdpi.com/2075-1680/14/1/32
work_keys_str_mv AT hananhajahmad competingrisksinacceleratedlifetestingastudyonstepstressmodelswithtamperedrandomvariables
AT ehabmalmetwally competingrisksinacceleratedlifetestingastudyonstepstressmodelswithtamperedrandomvariables
AT dinaaramadan competingrisksinacceleratedlifetestingastudyonstepstressmodelswithtamperedrandomvariables