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<p>This study investigates the application of adaptive Type-I progressive hybrid censoring techniques for the estimation of failure times in step-stress partially accelerated life tests. We employ a Logistic-Exponential distribution to model the lifetimes of the test units and derive the maximum likelihood estimators for both the model parameters and the acceleration factor. Furthermore, we introduce an adaptive Type-I hybrid progressive censoring scheme to enhance the robustness of our analysis. To assess and compare the efficacy of the estimators under various hybrid censoring scenarios, we conduct a comprehensive Monte Carlo simulation study. Performance metrics, including mean squared error and bias, are utilized to facilitate a rigorous comparison of the estimators’ effectiveness.</p>

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SS-PALT for Logistic-Exponential Distribution with Adaptive Type-I Progressively Hybrid Censored Data

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年1月16日

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  • Faten A. Momenkhan

摘要

This study investigates the application of adaptive Type-I progressive hybrid censoring techniques for the estimation of failure times in step-stress partially accelerated life tests. We employ a Logistic-Exponential distribution to model the lifetimes of the test units and derive the maximum likelihood estimators for both the model parameters and the acceleration factor. Furthermore, we introduce an adaptive Type-I hybrid progressive censoring scheme to enhance the robustness of our analysis. To assess and compare the efficacy of the estimators under various hybrid censoring scenarios, we conduct a comprehensive Monte Carlo simulation study. Performance metrics, including mean squared error and bias, are utilized to facilitate a rigorous comparison of the estimators’ effectiveness.