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Tensor Methods in Statistics New York 1976 edition

Tensor Methods in Statistics New York 1976 editionA 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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New York 1976 edition

adorned with a rosette and ribbons (1870)

borel sets

Deputy Director

French Defense

Tensor Methods in Statistics New York 1976 editionA 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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