Simultaneous estimation after selection and ranking and other procedures: The negative exponential case

Metrika ◽  
1988 ◽  
Vol 35 (1) ◽  
pp. 275-286 ◽  
Author(s):  
N. Mukhopadhyay ◽  
H. I. Hamdy ◽  
S. Darmanto
Keyword(s):  
Simultaneous Estimation ◽  
Exponential Case ◽  
Negative Exponential ◽  
Selection And Ranking ◽  
Estimation After Selection

The Comparison Between the Bayes Estimator and the Maximum Likelihood Estimator of the Reliability Function for Negative Exponential Distribution

2018 ◽  
pp. 439
Author(s):  
Hazim Mansour Gorgees ◽  
Bushra Abdualrasool Ali ◽  
Raghad Ibrahim Kathum
Keyword(s):  
Maximum Likelihood ◽  
Maximum Likelihood Estimator ◽  
Exponential Distribution ◽  
Reliability Function ◽  
Bayes Estimator ◽  
Likelihood Estimator ◽  
Monte Carlo Simulation Technique ◽  
Negative Exponential Distribution ◽  
Negative Exponential ◽  
Better Than

     In this paper, the maximum likelihood estimator and the Bayes estimator of the reliability function for negative exponential distribution has been derived, then a Monte –Carlo simulation technique was employed to compare the performance of such estimators. The integral mean square error (IMSE) was used as a criterion for this comparison. The simulation results displayed that the Bayes estimator performed better than the maximum likelihood estimator for different samples sizes.

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