Estimating moments of the minimum order statistic from normal populations - A Bayesian approach

Estimating moments of the minimum order statistic from normal populations - A Bayesian approach

0.00 Avg rating0 Votes
Article ID: iaor19951165
Country: United States
Volume: 41
Issue: 7
Start Page Number: 1007
End Page Number: 1017
Publication Date: Dec 1994
Journal: Naval Research Logistics
Authors: ,
Abstract:

Let equ1equ2, be independently distributed, where equ3 and equ4 are unknown. A Bayesian approach is used to estimate the first two moments of the minimum order statistic, equ5. In order to compute the Bayes estimates, one has to evaluate the predictive densities of the equ6 conditional on past data. Although the required predictive densities are complicated in form, an efficient algorithm to calculate them has been developed and given in the article. An application of the Bayesian method in a continuous-review control model with multiple suppliers is discussed.

Reviews

Required fields are marked *. Your email address will not be published.