Title : ( Testing Statistical Hypothesis of exponential populations with multiply sequential order statistics )
Authors: majid hashempour , Mahdi Doostparast ,Access to full-text not allowed by authors
Abstract
Sequential order statistics (SOS) coming from non-homogeneous exponential dis- tributions are considered in this paper. The generalized likelihood ratio (GLRT) and the Bayesian tests are derived for testing homogeneity of the exponential populations. It is shown that the GLRT in this case is also scale invariant. The maximum likelihood and the Bayesian estimates of parameters are derived on the basis of observed SOS samples. Explicit expression for SOS-based Bayes factor (BF) are derived.
Keywords
, Bayes, GLRT, Sequential order statistics, Estimation@inproceedings{paperid:1049307,
author = {Hashempour, Majid and Doostparast, Mahdi},
title = {Testing Statistical Hypothesis of exponential populations with multiply sequential order statistics},
booktitle = {چهل و ششمین کنفرانس ریاضی ایران},
year = {2015},
location = {یزد, IRAN},
keywords = {Bayes; GLRT; Sequential order statistics; Estimation},
}
%0 Conference Proceedings
%T Testing Statistical Hypothesis of exponential populations with multiply sequential order statistics
%A Hashempour, Majid
%A Doostparast, Mahdi
%J چهل و ششمین کنفرانس ریاضی ایران
%D 2015