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Inferences for the DUS-Exponential Distribution Based on Upper Record Values

Author

Listed:
  • Ayush Tripathi

    (Banaras Hindu University)

  • Umesh Singh

    (Banaras Hindu University)

  • Sanjay Kumar Singh

    (Banaras Hindu University)

Abstract

This article considers the problem of estimation of the parameter of DUS-exponential distribution based on upper records through classical as well as Bayesian procedures. Maximum likelihood estimator is calculated under the classical scheme and Bayes estimator is obtained under the squared error loss function by using MCMC technique. The performances of both the estimators are compared on the basis of their estimated mean squared errors. The asymptotic and HPD intervals for the unknown parameter is also calculated. In addition to that, the entropy of ith upper record and joint entropy based on m upper records are obtained for considered distribution. A real data set is considered to illustrate the suitability of the proposed methodology.

Suggested Citation

  • Ayush Tripathi & Umesh Singh & Sanjay Kumar Singh, 2021. "Inferences for the DUS-Exponential Distribution Based on Upper Record Values," Annals of Data Science, Springer, vol. 8(2), pages 387-403, June.
    • Handle: RePEc:spr:aodasc:v:8:y:2021:i:2:d:10.1007_s40745-019-00231-6
    DOI: 10.1007/s40745-019-00231-6
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    References listed on IDEAS

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    1. Masoud Bazari Jamkhaneh & S. M. T. K. MirMostafaee & Marziye Jadidi, 2025. "On the xgamma k-record values and associated inference," Annals of Data Science, Springer, vol. 12(5), pages 1717-1745, October.

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