|
|
|
 |
Search published articles |
 |
|
Showing 1 results for Lowest Posterior Loss.
Narges Najafi, Hossein Bevrani, Volume 4, Issue 1 (9-2010)
Abstract
This paper is devoted to compute the sample size for estimation of Normal distribution mean with Bayesian approach. The Quadratic loss function is considered and three criterions are applied to obtain p- tolerance regions with the lowest posterior loss. These criterions are: average length, average coverage and worst outcome. The proposed methodology is examined, and its effectiveness is shown.
|
|
|
|
|
|
|