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Experimental Design for Progressive Type I Interval Censoring on the Lifetime Performance Index of Chen Lifetime Distribution

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  • Shu-Fei Wu

    (Department of Statistics, Tamkang University, Tamsui District, New Taipei City 251037, Taiwan)

  • Meng-Zong Song

    (Department of Statistics, Tamkang University, Tamsui District, New Taipei City 251037, Taiwan)

Abstract

The lifetime performance index is commonly utilized to assess the lifetime performance of products. Based on the testing procedure for the lifetime of products following Chen distribution, an experimental design for progressive type I interval censoring is determined to achieve the desired power level while minimizing total experimental cost. For fixed inspection interval lengths and an unfixed number of inspection intervals, the required number of inspection intervals and sample sizes to achieve the minimum experimental costs are computed and presented in a table format. For unfixed termination times, the required number of inspection intervals, minimum sample sizes, and equal interval lengths are obtained and presented in a table format, while the minimum experimental costs are achieved. Finally, a practical example is presented to demonstrate the utilization of this experimental design for collecting samples and conducting a testing procedure to evaluate the lifetime performance of products.

Suggested Citation

  • Shu-Fei Wu & Meng-Zong Song, 2023. "Experimental Design for Progressive Type I Interval Censoring on the Lifetime Performance Index of Chen Lifetime Distribution," Mathematics, MDPI, vol. 11(6), pages 1-16, March.
  • Handle: RePEc:gam:jmathe:v:11:y:2023:i:6:p:1554-:d:1104525
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    References listed on IDEAS

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    1. N. Balakrishnan, 2007. "Progressive censoring methodology: an appraisal," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 16(2), pages 211-259, August.
    2. Wu, Shu-Fei & Lin, Ying-Po, 2016. "Computational testing algorithmic procedure of assessment for lifetime performance index of products with one-parameter exponential distribution under progressive type I interval censoring," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 120(C), pages 79-90.
    3. Rashad M. EL-Sagheer, 2018. "Estimation of parameters of Weibull–Gamma distribution based on progressively censored data," Statistical Papers, Springer, vol. 59(2), pages 725-757, June.
    4. Shu-Fei Wu & Tzu-Hsuan Liu & Yu-Hua Lai & Wei-Tsung Chang, 2022. "A Study on the Experimental Design for the Lifetime Performance Index of Rayleigh Lifetime Distribution under Progressive Type I Interval Censoring," Mathematics, MDPI, vol. 10(3), pages 1-15, February.
    5. Chen, Zhenmin, 2000. "A new two-parameter lifetime distribution with bathtub shape or increasing failure rate function," Statistics & Probability Letters, Elsevier, vol. 49(2), pages 155-161, August.
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    Cited by:

    1. Shu-Fei Wu & Kuan-Yi Chiang, 2024. "Assessment of the Overall Lifetime Performance Index of Weibull Products in Multiple Production Lines," Mathematics, MDPI, vol. 12(4), pages 1-16, February.
    2. Shu-Fei Wu & Yu-Lun Huang, 2024. "The Assessment of the Overall Lifetime Performance Index of Chen Products with Multiple Components," Mathematics, MDPI, vol. 12(13), pages 1-21, July.
    3. Shu-Fei Wu & Pei-Hsuan Kuo & Wen-Shuenn Deng, 2024. "The Computational Testing Procedure for the Comprehensive Lifetime Performance Index of Burr XII Products in Multiple Production Lines," Mathematics, MDPI, vol. 12(4), pages 1-19, February.

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