Presents methods of regression analysis, with each method having illustrations and examples. This book is suitable for courses in regression analysis at the advanced undergraduate and beginning graduate level in the social and behavioral sciences. It contains examples that include data from the social and behavioral sciences as well as biology.
- Limba : Engleza
- Cuprins : 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.
- Data Publicarii : 12 Aug 1998
- Format : Paperback
- Numar pagini : 386
- ISBN : 9780127249551