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Applied Regression Analysis and Generalized Linear Models

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ISBN-10: 0761930426

ISBN-13: 9780761930426

Edition: 2nd 2008

Authors: John Fox, John Fox

List price: $136.00
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Description:

Linear models, their variants, and extensions are among the most useful and widely used statistical tools for social research. The Second Edition of Applied Regression Analysis and Generalized Linear Models provides an accessible, in-depth, modern treatment of regression analysis, linear models, and closely related methods. Author John Fox makes the text as user-friendly as possible: With the exception of three chapters, several sections, and a few shorter passages, the prerequisite for reading the book is a course in basic applied statistics that covers the elements of statistical data analysis and inference. Even relatively advanced topics (such as methods for handling missing data…    
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Book details

List price: $136.00
Edition: 2nd
Copyright year: 2008
Publisher: SAGE Publications, Incorporated
Publication date: 4/16/2008
Binding: Hardcover
Pages: 688
Size: 7.00" wide x 10.00" long x 1.70" tall
Weight: 2.948
Language: English

John Fox is the Senator William McMaster Professor of Social Statistics in the Sociology Department of McMaster University in Hamilton, Ontario, Canada. Professor Fox earned a Ph.D. in sociology from the University of Michigan in 1972. He has delivered numerous lectures and workshops on statistical topics, at such places as the summer program of the Inter-University Consortium for Political and Social Research, the annual meetings of the American Sociological Association, and the Oxford Spring School in Quantitative Methods for Social Research. He has written many articles on statistics, sociology, and social psychology, and is the author of several books on statistics, including most…    

John Fox is the Senator William McMaster Professor of Social Statistics in the Sociology Department of McMaster University in Hamilton, Ontario, Canada. Professor Fox earned a Ph.D. in sociology from the University of Michigan in 1972. He has delivered numerous lectures and workshops on statistical topics, at such places as the summer program of the Inter-University Consortium for Political and Social Research, the annual meetings of the American Sociological Association, and the Oxford Spring School in Quantitative Methods for Social Research. He has written many articles on statistics, sociology, and social psychology, and is the author of several books on statistics, including most…    

Preface
Statistical Models - Social Science
Data Craft
What is Regression Analysis?
Examining Data
Transforming Data
Linear Models - Least Squares
Linear Least-Squares Regression
Statistical Inference for Regression
Dummy-Variable Regression
Analysis of Variance
Statistical Theory for Linear Models
The Vector Geometry of Linear Models
Linear-Model Diagnostics
Unusual and Influential Data
Diagnosing Non-Normality, Nonconstant Error Variance, and Nonlinearity
Collinearity and its Purported Remedies
Generalized Linear Models
Logit and Probit Models
Generalized Linear Models
Extending Linear - Generalized Linear Models
Time-Series Regression
Nonlinear Regression
Nonparametric Regression
Robust Regression
Missing Data in Regression Models
Bootstrapping Regression Models
Model Selection, Averaging, and Validation
A Notation
References