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A study of accidental breakages in progressively type-ii censored lifetime experiments

Author

Listed:
  • Rajni Goel

    (Chandigarh University)

  • Hare Krishna

    (Chaudhary Charan Singh University)

Abstract

In order to save experimental cost and to accelerate the execution time in lifetime experiments, the progressive censoring scheme has become very popular in the last few years. In the statistical literature, hundreds of research articles for the progressive type-II censoring scheme can be found. However, it is quite common for some units to be accidentally broken during the experiment. But no work is available so far in the literature of progressive type-II censoring scheme which deals with such accidental breakages. In view of the above, in the present research article, unintentional and random occurrence of accidents or dropouts is considered in the progressive type-II censoring scenario. The lifetime of units is taken as Weibull distribution, which is the most prevalent failure time model. Since the accidents occur in a random manner, the occurrence time of dropouts (or accidents) is assumed to follow the exponential distribution. After developing a model for this situation, we derive maximum likelihood estimates (MLEs) for the model parameters along with their confidence intervals. The parameters are estimated in the Bayesian framework to evaluate the impact of prior information, with gamma priors under the generalized entropy loss functions. A numerical study and a real data set are given to exemplify all the methods of estimation developed in this article. At last, the methods for determining an optimum censoring scheme are given.

Suggested Citation

  • Rajni Goel & Hare Krishna, 2024. "A study of accidental breakages in progressively type-ii censored lifetime experiments," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(6), pages 2105-2119, June.
  • Handle: RePEc:spr:ijsaem:v:15:y:2024:i:6:d:10.1007_s13198-023-02223-5
    DOI: 10.1007/s13198-023-02223-5
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    References listed on IDEAS

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    1. Essam A. Ahmed & Ziyad Ali Alhussain & Mukhtar M. Salah & Hanan Haj Ahmed & M. S. Eliwa, 2020. "Inference of progressively type-II censored competing risks data from Chen distribution with an application," Journal of Applied Statistics, Taylor & Francis Journals, vol. 47(13-15), pages 2492-2524, November.
    2. Mehdi Bazyar & Einolah Deiri & Ezzatallah Baloui Jamkhaneh, 2023. "Parameter estimation for the Moore-Bilikam distribution under progressive type-II censoring, with application to failure times," Mathematical Population Studies, Taylor & Francis Journals, vol. 30(3), pages 143-179, July.
    3. Rajni Goel & Hare Krishna, 2022. "Statistical inference for two Lindley populations under balanced joint progressive type-II censoring scheme," Computational Statistics, Springer, vol. 37(1), pages 263-286, March.
    4. P. Sankaran & Ansa Antony, 2009. "Non-parametric estimation of lifetime distribution of competing risk models when censoring times are missing," Statistical Papers, Springer, vol. 50(2), pages 339-361, March.
    5. Kousik Maiti & Suchandan Kayal, 2019. "Estimation for the generalized Fréchet distribution under progressive censoring scheme," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(5), pages 1276-1301, October.
    6. Kapil Kumar, 2018. "Classical and Bayesian estimation in log-logistic distribution under random censoring," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 9(2), pages 440-451, April.
    7. Biswabrata Pradhan & Debasis Kundu, 2009. "On progressively censored generalized exponential distribution," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 18(3), pages 497-515, November.
    8. Anurag Pathak & Manoj Kumar & Sanjay Kumar Singh & Umesh Singh & Manoj Kumar Tiwari & Sandeep Kumar, 2022. "Bayesian inference for Maxwell Boltzmann distribution on step-stress partially accelerated life test under progressive type-II censoring with binomial removals," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(4), pages 1976-2010, August.
    9. Hanan Haj Ahmad & Mukhtar M. Salah & M. S. Eliwa & Ziyad Ali Alhussain & Ehab M. Almetwally & Essam A. Ahmed, 2022. "Bayesian and non-Bayesian inference under adaptive type-II progressive censored sample with exponentiated power Lindley distribution," Journal of Applied Statistics, Taylor & Francis Journals, vol. 49(12), pages 2981-3001, September.
    10. Kapil Kumar & Indrajeet Kumar, 2019. "Estimation in Inverse Weibull Distribution Based on Randomly Censored Data," Statistica, Department of Statistics, University of Bologna, vol. 79(1), pages 47-74.
    11. Manoj Kumar & Sanjay Kumar Singh & Umesh Singh, 2018. "Bayesian inference for Poisson-inverse exponential distribution under progressive type-II censoring with binomial removal," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 9(6), pages 1235-1249, December.
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