A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
E-Bayesian Estimation for the Exponential Model Based on Record Statistics
2019
Journal of Statistical Theory and Applications (JSTA)
Preserved Fulltext
A B S T R A C T 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.
doi:10.2991/jsta.d.190820.001
fatcat:nicjphyoyjcctf7fxc6voaeqwu