） Abstract： In this paper, the well-known Behrens-Fisher problem is revisited and an exact and feasible method of dealing with it is given by shrinking the larger sample size based on the notion of linear suciency
In addition, we apply the main results to the example of Lehmann’s data and show that the approach used in the paper is acceptable in practice and can be as an alternative to other existing methods when handling the Behrens-Fisher problem
Finally, two unsolved questions are mentioned
Keywords： Behrens-Fisher problem; Dierence between the means; Sampling distribution Theorem; Confidence interval; Hypothesis testing Linear model; Best linear unbiased estimate; Linear suciency; Mutual independence 下载PDF阅读器 PDF全文下载： 初稿 （ 326 ） 作者简介： 通信联系人： 【收录情况】 中国科技论文在线： 刘绪庆
姜红燕 1
） 摘要： In this paper, the well-known Behrens-Fisher problem is revisited and an exact and feasible method of dealing with it is given by shrinking the larger sample size based on the notion of linear suciency
In addition, we apply the main results to the example of Lehmann’s data and show that the approach used in the paper is acceptable in practice and can be as an alternative to other existing methods when handling the Behrens-Fisher problem
Finally, two unsolved questions are mentioned
关键词： Behrens-Fisher problem; Dierence between the means; Sampling distribution Theorem; Confidence interval; Hypothesis testing Linear model; Best linear unbiased estimate; Linear suciency; Mutual independence Liu Xuqing 1,*
Rong Jianying 2, （ 1、 Department of Computing Science, Huaiyin Institute of Technology
2、 Department of Foundation Courses, Huai’an College of Information Technology
荣建英
A new method for the Behrens-Fisher Problem[EB/OL]
