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New PDF release: Advances in Multivariate Statistical Methods (Statistical

Posted On March 14, 2018 at 2:50 am by / Comments Off on New PDF release: Advances in Multivariate Statistical Methods (Statistical

By Ashis Sengupta

ISBN-10: 9812838236

ISBN-13: 9789812838230

This quantity incorporates a selection of learn articles on multivariate statistical tools, encompassing either theoretical advances and rising functions in quite a few clinical disciplines. It serves as a tribute to Professor S N Roy, an eminent statistician who has made seminal contributions to the realm of multivariate statistical tools, on his delivery centenary. within the quarter of rising purposes, the themes contain bioinformatics, express info and medical trials, econometrics, longitudinal facts research, microarray facts research, pattern surveys, statistical method keep watch over, and so forth. Researchers, execs and complex graduates will locate the ebook a necessary source for contemporary advancements in idea in addition to for cutting edge and rising very important functions within the zone of multivariate statistical equipment.

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Additional resources for Advances in Multivariate Statistical Methods (Statistical Science and Interdisciplinary Research) (Statistical Science and Interdisciplinary Research: Platinum Juliee Series)

Sample text

2 A Test invariant under scalar transformation of each component . . 3 Comparison of Power . . . . . . . . . . . . . 3 Two-sample Tests . . . . . . . . . . . . . . . . 4 Multivariate Analysis of Variance (MANOVA) . . . . . . . . 5 Discriminant Analysis . . . . . . . . . . . . . . . 6 Tests of Hypotheses on Covariance Matrices . . . . . . . . . 1 One-sample case . . . . . . . . . . . . . . 2 Two-Sample case . . . . .

1. Introduction In DNA microarray data, gene expressions are available on thousands of genes of an individual but there are only few individuals in the dataset. Although, these genes are correlated, most of the statistical analyses carried out in the literature ignore this correlation without any justification. For example if in one-sample problem it is found that the data supports the spherecity hypothesis about the co25 September 15, 2009 26 11:46 World Scientific Review Volume - 9in x 6in AdvancesMultivariate M.

1 One-sample case . . . . . . . . . . . . . . 2 Two-Sample case . . . . . . . . . . . . . . 3 Testing the equality of covariances in MANOVA . . . . . . 7 Conclusion . . . . . . . . . . . . . . . . . . References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1. Introduction In DNA microarray data, gene expressions are available on thousands of genes of an individual but there are only few individuals in the dataset.

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Advances in Multivariate Statistical Methods (Statistical Science and Interdisciplinary Research) (Statistical Science and Interdisciplinary Research: Platinum Juliee Series) by Ashis Sengupta


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