Analysis of the Behrens-Fisher problem based on Bayesian evidence
type: Item
instance of: scholarly article
title: Analysis of the Behrens-Fisher problem based on Bayesian evidence
zbMATH Open document ID: 1407.62206
DOI: 10.1155/2014/978691
author: Yuliang Yin
author: Baoren Li
published in: Journal of Applied Mathematics
publication date: 2019-02-01T00:00:00Z
review text: Summary: The Behrens-Fisher problem concerns the inferences for the difference between the means of two normal populations without making any assumption about the variances. Although the problem has been extensively studied in the literature, researchers cannot agree on its solution at present. In this paper, we propose a new method for dealing with the Behrens-Fisher problem in the Bayesian framework. The Bayesian evidence for testing the equality of two normal means and a credible interval at a specified level for the difference between the means are derived. Simulation studies are carried out to evaluate the performance of the provided Bayesian evidence.
Mathematics Subject Classification ID: 62H15
zbMATH DE Number: 7010814
Wikidata QID: Q59054560
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2014/978691
OpenAlex ID: W2044290795
description: scientific article; zbMATH DE number 7010814