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Estimation Of Dynamic Cumulative Past Entropy For Power Function Distribution

Author

Listed:
  • Enchakudiyil Ibrahim Abdul-Sathar

    (Department of Statistics, University of Kerala)

  • Glory Sathyanesan Sathyareji

    (Department of Statistics, University of Kerala)

Abstract

In this paper, we proposed MLE and Bayes estimators of parameters and DCPE for the two parameter power function distribution. Bayes estimators under different loss functions are obtained using Lindley approximation method and important sampling procedures. A real life data set and a Monte Carlo simulation are used to study the performance of the estimators derived in the article.

Suggested Citation

  • Enchakudiyil Ibrahim Abdul-Sathar & Glory Sathyanesan Sathyareji, 2018. "Estimation Of Dynamic Cumulative Past Entropy For Power Function Distribution," Statistica, Department of Statistics, University of Bologna, vol. 78(4), pages 319-334.
    • Handle: RePEc:bot:rivsta:v:78:y:2018:i:4:p:319-334
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    Cited by:

    1. Iuliana Iatan & Mihăiţă Drăgan & Silvia Dedu & Vasile Preda, 2022. "Using Probabilistic Models for Data Compression," Mathematics, MDPI, vol. 10(20), pages 1-29, October.

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