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Asymptotic Prediction for Future Observations of a Random Sample of Unknown Continuous Distribution

Author

Listed:
  • Magdy El-Adll
  • H. M. Barakat
  • Amany Aly
  • Ning Cai

Abstract

When the first r lower extreme order statistics (failure times) of a sample of large size n, 1

Suggested Citation

  • Magdy El-Adll & H. M. Barakat & Amany Aly & Ning Cai, 2022. "Asymptotic Prediction for Future Observations of a Random Sample of Unknown Continuous Distribution," Complexity, Hindawi, vol. 2022, pages 1-15, April.
    • Handle: RePEc:hin:complx:4073799
    DOI: 10.1155/2022/4073799
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    References listed on IDEAS

    as
    1. Igor Fedotenkov, 2020. "A Review of More than One Hundred Pareto-Tail Index Estimators," Statistica, Department of Statistics, University of Bologna, vol. 80(3), pages 245-299.
    2. Ahmad, Abd EL-Baset A. & Ghazal, M.G.M., 2020. "Exponentiated additive Weibull distribution," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    3. El-Adll, Magdy E., 2011. "Predicting future lifetime based on random number of three parameters Weibull distribution," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(9), pages 1842-1854.
    4. Magdy E. El-Adll, 2021. "Inference for the two-parameter exponential distribution with generalized order statistics," Mathematical Population Studies, Taylor & Francis Journals, vol. 28(1), pages 1-23, January.
    5. Atef F. Hashem & Salem A. Alyami & Ahmed Mostafa Khalil, 2021. "Inference on a New Lifetime Distribution under Progressive Type II Censoring for a Parallel-Series Structure," Complexity, Hindawi, vol. 2021, pages 1-18, February.
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