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Prediction under an adaptive progressive type-II censoring scheme for Burr Type-XII distribution

Author

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  • Saieed F. Ateya
  • M. M. Amein
  • Heba S. Mohammed

Abstract

In this article, Burr type-XII distribution (BXIID) is employed to make one- and two-sample Bayesian prediction schemes for future order statistics and record values in case of adaptive progressive type-II censoring scheme (APTIICS). Real data set are presented as an application. Also, some numerical computations using simulated data from the underlying distribution in case of ATIIPCS are obtained.

Suggested Citation

  • Saieed F. Ateya & M. M. Amein & Heba S. Mohammed, 2022. "Prediction under an adaptive progressive type-II censoring scheme for Burr Type-XII distribution," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 51(12), pages 4029-4041, May.
    • Handle: RePEc:taf:lstaxx:v:51:y:2022:i:12:p:4029-4041
    DOI: 10.1080/03610926.2020.1808685
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    Cited by:

    1. Ahmed Elshahhat & Osama E. Abo-Kasem & Heba S. Mohammed, 2023. "Survival Analysis of the PRC Model from Adaptive Progressively Hybrid Type-II Censoring and Its Engineering Applications," Mathematics, MDPI, vol. 11(14), pages 1-26, July.

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