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- Author: Richard A Berk
- Publisher: SAGE Publications, Inc
- Year: 2004
- ISBN-10: 0761929045
- ISBN-13: 9780761929048
- Format: 16.3 x 23.6 x 2 cm, hardcover
- Language: English
- SAVE -10% with code: EXTRA
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Description
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
EXTRA 10 % discount with code: EXTRA
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- Author: Richard A Berk
- Publisher: SAGE Publications, Inc
- Year: 2004
- ISBN-10: 0761929045
- ISBN-13: 9780761929048
- Format: 16.3 x 23.6 x 2 cm, hardcover
- Language: English English
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
Reviews