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Springer Texts in Statistics

Regression Analysis

Theory, Methods and Applications

Authors: Sen, Ashish K., Srivastava, Muni S.

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  • ISBN 978-3-662-25092-1
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  • ISBN 978-3-540-97211-2
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About this book

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 Master's and Ph.D. 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.

Table of contents (12 chapters)

Table of contents (12 chapters)

Buy this book

eBook $84.99
price for USA in USD
  • ISBN 978-3-662-25092-1
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $109.99
price for USA in USD
  • ISBN 978-3-540-97211-2
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
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Bibliographic Information

Bibliographic Information
Book Title
Regression Analysis
Book Subtitle
Theory, Methods and Applications
Authors
Series Title
Springer Texts in Statistics
Copyright
1990
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-3-662-25092-1
DOI
10.1007/978-3-662-25092-1
Softcover ISBN
978-3-540-97211-2
Series ISSN
1431-875X
Edition Number
1
Number of Pages
XV, 348
Number of Illustrations
5 b/w illustrations
Topics