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

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Author: Muni Srivastava, Ashish Sen Number of Pages: 348 Pages Subject Area: Psychology Publisher: Springer Berlin / Heidelberg width: 6.1 in Subject: General Item Width: 6.1 in Language: English Item Length: 9.2 in Publication Year: 1994 Series: Springer Texts in Statistics Ser. Item Weight: 19.9 Oz Publication Name: Regression Analysis : Theory, Methods and Applications Book Title: Regression Analysis : Theory, Methods and Applications Type: Textbook Format: Hardcover ISBN: 9783540972112

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Regression Analysis : Theory, Methods and Applications, Paperback by Sen, Ash.... In fact, linear least squares regression is by far the most widely used of any statistical technique. Although nonlinear least squares is covered in an appendix, this book is mainly ab out linear least squares applied to fit a single equation (as opposed to a system of equations). Regression Analysis : Theory, Methods and Applications, Paperback by Sen, Ashish K.; Srivastava, Muni S., ISBN 3540972110, ISBN-13 9783540972112, Brand New, Free shipping in the US Any method of fitting equations to data may be called regression. Such equations are valuable for at least two purposes: making predictions and judging the strength of relationships. Because they provide a way of em pirically identifying how a variable is affected by other variables, regression methods have become essential in a wide range of fields, including the soeial seiences, engineering, medical research and business. Of the various methods of performing regression, least squares is the most widely used. In fact, linear least squares regression is by far the most widely used of any statistical technique. Although nonlinear least squares is covered in an appendix, this book is mainly ab out linear least squares applied to fit a single equation (as opposed to a system of equations). The writing of this book started in 1982. Since then, various drafts have been used at the University of Toronto for teaching a semester-Iong course to juniors, seniors and graduate students in a number of fields, including statistics, pharmacology, pharmacology, engineering, economics, forestry and the behav ioral seiences. Parts of th have also been used in a quarter-Iong course given to Master's and . students in public administration, urban plan ning and engineering at the University of Illinois at Chicago (UIC). This experience and the comments and critieisms from students helped forge the final version.