Andersen, Robert
Modern Methods for Robust Regression (Quantitative Applications in the Social Sciences) (Quantitative Applications in the Social Sciences)
- ISBN 13:
- 9781412940726
- author:
- Andersen, Robert
- format:
- Paperback
- publisher:
- Sage Publications, Inc
- language:
- English
- Publication Year:
- 2007
- Pages:
- 128
- Dimensions:
- 139 mm X 215 mm
- Genre:
- Society, Politics & Philosophy
- Condition:
- New
- Availability:
- Item usually sent within 7 working days
Description
Modern Methods for Robust Regression by Robert Andersen is a comprehensive guide to detecting and handling influential cases in regression analysis. This applied approach offers readers empirical examples to illustrate key concepts, making it an ideal resource for those interested in outliers and influential cases. The book defines key terms necessary to understanding the robustness of an estimator, addresses the robustness of validity and efficiency, and focuses on the impact of outliers. It also provides an overview of traditional techniques, including formal statistical tests and graphical methods, as well as a web appendix with data and R code for the examples used in the book. Suitable for intermediate and advanced quantitative methods and statistics courses at the graduate level across the social sciences, this volume offers a valuable resource for those looking to improve their understanding of robust regression techniques.
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