Colin Lewis-Beck: Applied Regression

Cover: 9781483381473 | Applied Regression | An Introduction | Colin Lewis-Beck (u. a.) | Buch

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Sprache: Englisch

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Beschreibung

Known for its readability and clarity, this Second Edition of the best-selling Applied Regression provides an accessible introduction to regression analysis for social scientists and other professionals who want to model quantitative data. After covering the basic idea of fitting a straight line to a scatter of data points, the text uses clear language to explain both the mathematics and assumptions behind the simple linear regression model. Authors Colin Lewis-Beck and Michael Lewis-Beck then cover more specialized subjects of regression analysis, such as multiple regression, measures of model fit, analysis of residuals, interaction effects, multicollinearity, and prediction. Throughout the text, graphical and applied examples help explain and demonstrate the power and broad applicability of regression analysis for answering scientific questions.

Über den Autor

Colin Lewis-Beck is a PhD candidate in Statistics at Iowa State University

Michael S. Lewis-Beck is F. Wendell Miller Distinguished Professor of Political Science at the University of Iowa

Inhaltsverzeichnis

Series Editors 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

Details

Erscheinungsjahr:	2015
Fachbereich:	Allgemeines
Genre:	Importe
Rubrik:	Sozialwissenschaften
Medium:	Taschenbuch
Inhalt:	Kartoniert / Broschiert
ISBN-13:	9781483381473
ISBN-10:	1483381471
Sprache:	Englisch
Einband:	Kartoniert / Broschiert
Autor:	Lewis-Beck, Colin Lewis-Beck, Michael
Auflage:	2. Auflage
Hersteller:	Sage Publications, Inc
Verantwortliche Person für die EU:	Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße:	216 x 140 x 7 mm
Von/Mit:	Colin Lewis-Beck (u. a.)
Erscheinungsdatum:	08.09.2015
Gewicht:	0,162 kg