Regression Analysis: A Constructive Critique

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SAGE, 2004 - Mathematics - 259 pages
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Regression Analysis: A Constructive Critique identifies a wide variety of problems with regression analysis as it is commonly used and then provides a number of ways in which practice could be improved. Regression is most useful for data reduction, leading to relatively simple but rich and precise descriptions of patterns in a data set. The emphasis on description provides readers with an insightful rethinking from the ground up of what regression analysis can do, so that readers can better match regression analysis with useful empirical questions and improved policy-related research.

"An interesting and lively text, rich in practical wisdom, written for people who do empirical work in the social sciences and their graduate students."

--David A. Freedman, Professor of Statistics, University of California, Berkeley

 

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Contents

Simple Linear Regression
21
Statistical Inference for Simple Linear Regression
39
Generated by Random Sampling From a Population
44
Causal Inference for the Simple Linear Model
81
The Formalities of Multiple Regression
103
Using and Interpreting Multiple Regression
111
Some Popular Extensions of Multiple Regression
125
Some Regression Diagnostics
151
Further Extensions of Regression Analysis
171
What to Do
203
References
239
Index
251
About the Author
259
Copyright

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About the author (2004)

Richard Berk is Professor in the Departments of Statistics and Sociology at the University of California, Los Angeles.

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