Computational Testing Procedure for the Overall Lifetime Performance Index of Multi-Component Exponentially Distributed Products

Shu-Fei Wu () and Chia-Chi Hsu
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Shu-Fei Wu: Department of Statistics and Data Science, Tamkang University, New Taipei City 251301, Taiwan
Chia-Chi Hsu: Department of Statistics and Data Science, Tamkang University, New Taipei City 251301, Taiwan

Stats, 2025, vol. 8, issue 4, 1-21

Abstract: In addition to products with a single component, this study examines products composed of multiple components whose lifetimes follow a one-parameter exponential distribution. An overall lifetime performance index is developed to assess products under the progressive type I interval censoring scheme. This study establishes the relationship between the overall and individual lifetime performance indices and derives the corresponding maximum likelihood estimators along with their asymptotic distributions. Based on the asymptotic distributions, the lower confidence bounds for all indices are also established. Furthermore, a hypothesis testing procedure is formulated to evaluate whether the overall lifetime performance index achieves the specified target level, utilizing the maximum likelihood estimator as the test statistic under a progressive type I interval censored sample. Moreover, a power analysis is carried out, and two numerical examples are presented to demonstrate the practical implementation for the overall lifetime performance index. This research can be applied to the fields of life testing and reliability analysis.

Keywords: exponential distribution; progressive type I interval censored sample; maximum likelihood estimation method; overall lifetime performance index; testing procedure algorithm; Confidence lower bounds (search for similar items in EconPapers)
JEL-codes: C1 C10 C11 C14 C15 C16 (search for similar items in EconPapers)
Date: 2025
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