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Titlebook: Advances in Multivariate Statistical Analysis; Pillai Memorial Volu A. K. Gupta Book 1987 Springer Science+Business Media Dordrecht 1987 Es

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XIII. Orthogonal latin squares,e been studied from several points of view using various goals and formulations. However, selection from multivariate populations is an important topic that has not been adequately studied in the literature. Our interest here is to briefly review developments pertaining to selection from multivariat
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Problems and Results on Intersective Sets,ons. Several examples are presented..A detailed study is undertaken in the case of outliers in sampling from the normal distribution. It is Shown that outliers with large variances lead to inflation in the errors of misclassification.
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Combinatorial and Additive Number Theoryproblem of normalizing and variance stabilizing transformations of statistics in multivariate analysis. A method for finding normalizing transformations is constructed based on an Edgeworth expansion. Investigation is made in connection with the problem which arises in deriving higher order Edgewort
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On Supra-SIM Sets of Natural Numbers,at they are combinations of familiar univariate tests. In the multivariate context they are asymptotically equivalent to the B-optimal likelihood ratio tests; and even in small to moderate size samples they compare well with the B-optimal tests in terms of the power. Their construction and optimalit
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Lecture Notes in Computer Sciencequality of two normal mean vectors with a given power for a given value of the distance between mean vectors, when population covariance matrices are different. Example is discussed by using Fisher’s iris data.
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