Bayesian Test for Symmetry in Freund s Bivariate Exponential Model with Bivariate Random Censored Data

• 발행기관: 한국자료분석학회
• 저자명: Jang Sik Cho Kil Ho Cho
• 간행물 정보: 『Journal of The Korean Data Analysis Society (JKDAS)』Vol.8 No.2, 483~493쪽, 전체 11쪽
• 주제분류: 자연과학 > 통계학
• 파일형태: PDF
• 발행일자: 2006.04.30

영문 초록

In this paper, we consider the Bayesian hypotheses testing for symmetry in Freund s bivariate exponential model with bivariate random censored data. In Bayesian testing problem, we use the noninformative priors for parameters which are improper and are defined only up to arbitrary constants. And we use the recently proposed hypotheses testing criterion called the intrinsic Bayes factor. Also we derive the arithmetic and median intrinsic Bayes factors and give some numerical results to illustrate our results.

목차

1. Introduction

2. Preliminaries

3. Bayesian Hypothesis Test

4. Simulation Study

References

키워드

bivariate exponential model bivariate random censored data intrinsic Bayes factor