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Bayesian Survival Analysis of Type I General Exponential Distributions

Author

Listed:
  • Mohammed H. AbuJarad

    (AMU)

  • Eman S. A. AbuJarad

    (AMU)

  • Athar Ali Khan

    (AMU)

Abstract

This article aims at generalizing two distribution by means of, exponentiated exponential and Weibull distribution. The researchers have employed three and four parameters life model called the Type I General Exponential exponentiated exponential distribution and Type I General Exponential Weibull distribution. Survival and hazard rate functions were provided for these two models. To fit these models into survival and hazard rate functions, we adopted the Bayesian approach. For illustration, a real survival data set has been employed. Application is carried out by R and Stan. Finally,a comparison between these two models is made by using loo package to find the best model and simulation.

Suggested Citation

  • Mohammed H. AbuJarad & Eman S. A. AbuJarad & Athar Ali Khan, 2022. "Bayesian Survival Analysis of Type I General Exponential Distributions," Annals of Data Science, Springer, vol. 9(2), pages 347-367, April.
    • Handle: RePEc:spr:aodasc:v:9:y:2022:i:2:d:10.1007_s40745-019-00228-1
    DOI: 10.1007/s40745-019-00228-1
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    References listed on IDEAS

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    1. Angelika van der Linde, 2005. "DIC in variable selection," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 59(1), pages 45-56, February.
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