Colin Lewis-Beck, Michael S. Lewis-Beck

Applied Regression

An Introduction

• Broschiertes Buch

Produktbeschreibung

Updates to this new edition include: more coverage of regression assumptions and model fit; additional material on residual analysis; more examples of transformations; and the inclusion of the measures of tolerance and VIF within the discussion about collinearity.

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Produktdetails

• Quantitative Applications in the Social Sciences
• Verlag: SAGE Publications Inc
• 2 Revised edition
• Seitenzahl: 120
• Erscheinungstermin: 13. Juli 2015
• Englisch
• Abmessung: 216mm x 140mm x 7mm
• Gewicht: 146g
• ISBN-13: 9781483381473
• ISBN-10: 1483381471
• Artikelnr.: 41857484

Autorenporträt

Colin Lewis-Beck is a PhD candidate in Statistics at Iowa State University.  He holds a BA from Middlebury College and a dual MPP/MA in Public Policy and Applied Statistics from the University of Michigan.  While at Michigan, he received an Outstanding Teaching Award from the Department of Statistics.  Also, he has worked as a Teaching Assistant and a Computer Consultant, during multiple summers at the Inter-University Consortium for Political and Social Research (ICPSR) Summer Program, University of Michigan.  His research experiences in statistics are varied, and including serving as a Statistician in the Economic Analysis and Statistics Division of the OECD (Paris), and at STATinMED, a health outcomes research firm in Ann Arbor, MI.  His interests are applied statistics related to social science research, causal inference, and spatial statistics.  Mr. Lewis-Beck has co-authored papers on the quality of life and work productivity, modeling health care costs, and technology use in educational performance.

Inhaltsangabe

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