Overview
- Authors:
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Ashish Sen
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College of Architecture, Art, and Urban Planning, School of Urban Planning and Policy, The University of Illinois, Chicago, USA
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Muni Srivastava
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Department of Statistics, University of Toronto, Toronto, Canada
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Table of contents (12 chapters)
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- Ashish Sen, Muni Srivastava
Pages 1-27
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- Ashish Sen, Muni Srivastava
Pages 28-59
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- Ashish Sen, Muni Srivastava
Pages 60-82
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- Ashish Sen, Muni Srivastava
Pages 83-99
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- Ashish Sen, Muni Srivastava
Pages 100-110
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- Ashish Sen, Muni Srivastava
Pages 111-131
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- Ashish Sen, Muni Srivastava
Pages 132-153
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- Ashish Sen, Muni Srivastava
Pages 154-179
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- Ashish Sen, Muni Srivastava
Pages 180-217
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- Ashish Sen, Muni Srivastava
Pages 218-232
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- Ashish Sen, Muni Srivastava
Pages 233-252
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- Ashish Sen, Muni Srivastava
Pages 253-264
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Back Matter
Pages 265-348
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.
Authors and Affiliations
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College of Architecture, Art, and Urban Planning, School of Urban Planning and Policy, The University of Illinois, Chicago, USA
Ashish Sen
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Department of Statistics, University of Toronto, Toronto, Canada
Muni Srivastava