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Tensor Methods in Statistics The treatment demonstrates the essential

Tensor Methods in Statistics The treatment demonstrates the essentialA pioneering monograph on tensor methods applied to distributional problems arising in statistics, this work constitutes a valuable reference for graduate students and professional statisticians. Prerequisites include some knowledge of linear algebra, eigenvalue decompositions, and linear models as well as likelihood functions and likelihood ratio statistics. Index notation is the favored mode of expression throughout the book. The first chapter

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The treatment demonstrates the essential unity of mathematics without assuming more background than can be expected of advanced undergraduates and graduate students majoring in mathematics

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Detailed bibliographical information concerning every source—including biographical details of each artist—makes this collection a vital reference tool as well as a splendid resource of outstanding animal illustrations

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Tensor Methods in Statistics The treatment demonstrates the essentialA pioneering monograph on tensor methods applied to distributional problems arising in statistics, this work constitutes a valuable reference for graduate students and professional statisticians. Prerequisites include some knowledge of linear algebra, eigenvalue decompositions, and linear models as well as likelihood functions and likelihood ratio statistics. Index notation is the favored mode of expression throughout the book. The first chapter

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