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Peer reviewedKim, Seock-Ho; Cohen, Allan S. – Journal of Educational and Behavioral Statistics, 1998
Presents a review of fundamental concepts and applications used to address the Behrens-Fisher problem (W. Behrens, 1929 and R. Fisher, 1935), a problem in testing the difference between two population means, through fiducial, Bayesian, and frequentist approaches. (Contains 86 references.) (SLD)
Descriptors: Bayesian Statistics, Statistical Significance
Download full textKim, Seock-Ho; Cohen, Allan S. – 1995
The Behrens-Fisher problem arises when one seeks to make inferences about the means of two normal populations without assuming the variances are equal. This paper presents a review of fundamental concepts and applications used to address the Behrens-Fisher problem under fiducial, Bayesian, and frequentist approaches. Methods of approximations to…
Descriptors: Bayesian Statistics, Hypothesis Testing, Probability, Statistical Inference
