By Nel D. G., Groenewald P. C. N.
Self sufficient random samples of sizesN 1 andN 2 from multivariate general populationsN p (θ1,∑1) andN p (θ2,∑2) are thought of. lower than the null hypothesisH zero: θ1=θ2, a unmarried θ is generated from aN p(μ, Σ) previous distribution, whereas underH 1: θ1≠θ2 capacity are generated from the exchangeable priorN p(μ,σ). In either instances Σ may be assumed to have a obscure earlier distribution. For an easy covariance constitution, the Bayes factorB and minimal Bayes consider favour of the null hypotheses is derived. The Bayes probability for every speculation is derived and a method is mentioned for utilizing the Bayes issue and Bayes hazards to check the speculation.
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Extra info for A Bayesian Approach to the Multivariate Behrens-Fisher Problem Under the Assumption of Proportional Covariance Matrices
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