Volume 20, Issue 2, June 2021, Pages 279 - 288
Estimation of Entropy for Weibull Distribution Based on Record Values
Authors
Manoj Chacko*, , P. S. Asha
Department of Statistics, University of Kerala, Trivandrum, 695581, India
*Corresponding author. Email: manojchacko02@gmail.com
Corresponding Author
Manoj Chacko
Received 5 April 2019, Accepted 14 December 2020, Available Online 10 July 2021.
- DOI
- 10.2991/jsta.d.210610.001How to use a DOI?
- Keywords
- Entropy; record values; Bayes estimators; MCMC method
- Abstract
In this paper, estimation of entropy for Weibull distribution based on record values is considered. Maximum likelihood estimation and Bayes estimation for Shannon entropy and Renyi entropy have been considered based on record values. Bayes estimators are obtained using Markov Chain Monte Carlo method. A simulation study is performed to find the performance of the estimators developed in this paper. The inferential procedures developed in this paper have also been illustrated using real data.
- Copyright
- © 2021 The Authors. Published by Atlantis Press B.V.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
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TY - JOUR AU - Manoj Chacko AU - P. S. Asha PY - 2021 DA - 2021/07/10 TI - Estimation of Entropy for Weibull Distribution Based on Record Values JO - Journal of Statistical Theory and Applications SP - 279 EP - 288 VL - 20 IS - 2 SN - 2214-1766 UR - https://doi.org/10.2991/jsta.d.210610.001 DO - 10.2991/jsta.d.210610.001 ID - Chacko2021 ER -