Regression Analysis : Theory, Methods, and Applications, Paperback by Sen, As...-image

Regression Analysis : Theory, Methods, and Applications, Paperback by Sen, As...

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Item Weight: 19.6 Oz Book Title: Regression Analysis : Theory, Methods, and Applications Series: Springer Texts in Statistics Ser. height: 0.3 in Language: English Format: Trade Paperback Type: Textbook Item Width: 6.1 in ISBN: 9781461287896 Publisher: Springer New York Subject Area: Mathematics, Psychology Item Height: 0.3 in Publication Name: Regression Analysis : Theory, Methods, and Applications width: 6.1 in Publication Year: 2011 Item Length: 9.3 in Author: Muni Srivastava, Ashish Sen Number of Pages: Xvi, 348 Pages Subject: Movements / Psychoanalysis, Probability & Statistics / Regression Analysis, Probability & Statistics / General

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Regression Analysis : Theory, Methods, and Applications, Paperback by Sen, As.... Regression Analysis : Theory, Methods, and Applications, Paperback by Sen, Ashish; Srivastava, Muni, ISBN 1461287898, ISBN-13 9781461287896, Like New Used, Free shipping in the US An up-to-date, rigorous, and lucid treatment of the theory, methods, and applications of regression analysis, and thus ideally suited for those interested in the theory as well as those whose interests lie primarily with applications. It is further enhanced through real-life examples drawn from many disciplines, showing the difficulties typically encountered in the practice of regression analysis. Consequently, this book provides a sound foundation in the theory of this important subject. Regression Analysis : Theory, Methods, and Applications, Paperback by Sen, Ashish; Srivastava, Muni, ISBN 1461287898, ISBN-13 9781461287896, Like New Used, Free shipping in the US An up-to-date, rigorous, and lucid treatment of the theory, methods, and applications of regression analysis, and thus ideally suited for those interested in the theory as well as those whose interests lie primarily with applications. It is further enhanced through real-life examples drawn from many disciplines, showing the difficulties typically encountered in the practice of regression analysis. Consequently, this book provides a sound foundation in the theory of this important subject.

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