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Regression Analysis: Theory, Methods, and Applications (Springer Texts in Statistics) by Ashish Sen, Muni Srivastava (auth.) is a nonfiction available to read on EtoBox.

What is Regression Analysis: Theory, Methods, and Applications (Springer Texts in Statistics) about?

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 the book have also been used in a quarter-Iong course given to Mas

Who reads Regression Analysis: Theory, Methods, and Applications (Springer Texts in Statistics)?

Author

Ashish Sen, Muni Srivastava (auth.)

Publisher

Springer-Verlag New York

Published

1990

Language

EN

ISBN

9780387947808

Category

nonfiction

Subjects

Mathematics, Psychology, Medical

Updated

2026-03-24