Regression Analysis for Social Sciences
Alexander von Eye, Christof Schuster
Abstract
Alexander von Eye, Christof Schuster
Abstract
Preface. Introduction. Simple Linear Regression. Multiple Linear Regression. Categorical Predictors. Outlier Analysis. Residual Analysis. Polynomial Regression. Multicollinearity. Multiple Curvilinear Regression. Interaction Terms in Regression. Robust Regression. Symmetric Regression. Variable Selection Techniques. Regression for Longitudinal Data. Piecewise Regression. Dichotomous Criterion Variables. Computational Issues. Elements of Matrix Algebra. Basics of Differentiation. Basics of Vector Differentiation. Polynomials. Data Sets. References. Index.
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Preface. Introduction. Simple Linear Regression. Multiple Linear Regression. Categorical Predictors. Outlier Analysis. Residual Analysis. Polynomial Regression. Multicollinearity. Multiple Curvilinear Regression. Interaction Terms in Regression. Robust Regression. Symmetric Regression. Variable Selection Techniques. Regression for Longitudinal Data. Piecewise Regression. Dichotomous Criterion Variables. Computational Issues. Elements of Matrix Algebra. Basics of Differentiation. Basics of Vector Differentiation. Polynomials. Data Sets. References. Index.
Key concepts: Proper linear model, Segmented regression, Regression diagnostic, Polynomial regression, Multicollinearity, Linear predictor function, Regression analysis, Local regression