Volume 18, Issue 3, September 2019, Pages 236 - 243
E-Bayesian Estimation for the Exponential Model Based on Record Statistics
Authors
Hassan M. Okasha*
Department of Statistics, King Abdul Aziz University, P.O.Box: 80203, Jeddah 21589, Saudi Arabia
*Email: hokasha45@gmail.com
Home address: Department of Mathematics, Faculty of Science, Al-Azhar University, Nasr City, 11884, Cairo, Egypt; E-mail: hassanokasha@yahoo.com.
Home address: Department of Mathematics, Faculty of Science, Al-Azhar University, Nasr City, 11884, Cairo, Egypt; E-mail: hassanokasha@yahoo.com.
Corresponding Author
Hassan M. Okasha
Received 23 March 2017, Accepted 18 March 2019, Available Online 2 September 2019.
- DOI
- 10.2991/jsta.d.190820.001How to use a DOI?
- Keywords
- E-Bayes estimation; Bayes estimation; Exponential distribution; Upper record statistics values; Squared error loss function; Monte Carlo simulation
- Abstract
This paper is concerned with using the E-Bayesian method for computing estimates for the parameter and reliability function of the Exponential distribution based on a set of upper record statistics values. The estimates are derived based on a conjugate prior for the scale parameter and squared error loss function. A comparisons between the new method and the corresponding Bayes technique are made using the Monte Carlo simulation.
- Copyright
- © 2019 The Authors. Published by Atlantis Press SARL.
- 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 - Hassan M. Okasha PY - 2019 DA - 2019/09/02 TI - E-Bayesian Estimation for the Exponential Model Based on Record Statistics JO - Journal of Statistical Theory and Applications SP - 236 EP - 243 VL - 18 IS - 3 SN - 2214-1766 UR - https://doi.org/10.2991/jsta.d.190820.001 DO - 10.2991/jsta.d.190820.001 ID - Okasha2019 ER -