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Applied Regression: An Introduction 2ed

by Michael Lewis-Beck and Colin Lewis-Beck SAGE Publications, Inc
Pub Date:
07/2015
ISBN:
9781483381473
Format:
Pbk 120 pages
Price:
AU$46.99 NZ$47.82

SAGE Student Price: AU$39.94

Product Status: In Stock Now
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Available as eBook
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This bestselling introduction to regression is known for its readability and clarity. Applied Regression, Second Edition organises the material logically and in a way that students find easy to follow. It provides the reader with applied examples, and without too much unnecessary derivation of mathematical formulae. Colin Lewis-Beck joins his father, Michael, as a new co-author on the Second Edition. This new edition includes: more on regression assumptions and model fit, and additional material on residual analysis; the discussion of collinearity will include the measures of tolerance and VIF, as well as an updated example; more graphs, and these graphs will have a more contemporary design (having been created in the R software); the differences between linearity and nonlinearity will made clearer through the use of more visual illustrations; the mathematical notation used will be made to conform to more current style; and more examples of transformations will be offered, with a focus on solving problems of nonlinearity or outliers.

Series Editor's Introduction
Preface
Acknowledgments
About the Authors
1. Bivariate Regression: Fitting a Straight Line
2. Bivariate Regression: Assumptions and Inferences
3. Multiple Regression: The Basics
4. Multiple Regression: Special Topics
Appendix
References
Index

The new edition of Applied Regression maintains the excellence of the original edition while modernizing and extending it.  Its highpoint is how the Lewis-Becks state everything with complete precision.  From the assumptions of OLS to the ways of coping with outliers and to the methods of detecting multicollinearity, the authors tell readers exactly what they need to know to perform regression analysis.
Professor Emeritus Political ScienceF. Wendell Miller Distinguished Professor