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Lecture-13 Hotellings T2 Distribution and its applications., by Amit Mitra

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Lecture-43 Cannonical Correlation Analysis, by Amit Mitra

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Lecture 23 Principal Component Analysis, by Amit Mitra

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Lecture-33 Discriminant Analysis and Classification, by Amit Mitra

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Lecture-16 Profile analysis.-I, by Amit Mitra

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Lecture-18 MANOVA.-I, by Amit Mitra

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Lecture-03 Multivariate Normal distribution. : I, by Amit Mitra

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Lecture-10 Random Sampling from Multivariate Normal Distribution and Wishart distribution. : III, by Amit Mitra

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Lecture-21 MANOVA & Multiple Correlation Coefficient, by Amit Mitra

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Lecture-12 Wishart Distribution and its properties.-II, by Amit Mitra

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Lecture-02 Basic Concepts on Multivariate distribution., by Amit Mitra

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Lecture-29 Cluster Analysis, by Amit Mitra

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Lecture-35 Discriminant Analysis and Classification, by Amit Mitra

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Lecture-19 MANOVA.-II, by Amit Mitra

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Lecture-42 Cannonical Correlation Analysis, by Amit Mitra

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Lecture-07 some Problems on Multivariate distributions. : II, by Amit Mitra

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Lecture-26 Cluster Analysis, by Amit Mitra

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Lecture-11 Wishart Distribution and its properties. :I, by Amit Mitra

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Lecture-31 Discriminant Analysis and Classification, by Amit Mitra

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Lecture-39 Factor_Analysis, by Amit Mitra

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Lecture-15 Hotellings T2 Distribution and Profile analysis., by Amit Mitra

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Lecture-40 Cannonical Correlation Analysis, by Amit Mitra

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Lecture-24 Principal Component Analysis, by Amit Mitra

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Lecture-08 Random Sampling from Multivariate Normal Distribution and Wishart distribution. : I, by Amit Mitra

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Lecture-30 Discriminant Analysis and Classification, by Amit Mitra

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Prologue, by Amit Mitra

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Lecture-01 Basic Concepts on Multivariate distribution., by Amit Mitra

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Lecture 38 Factor_Analysis, by Amit Mitra

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Lecture-05 Multivariate Normal distribution. : III, by Amit Mitra

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Lecture-41 Cannonical Correlation Analysis, by Amit Mitra

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