Applied Regression Including Computing and GraphicsISBN: 978-0-471-31711-1
Hardcover
632 pages
August 1999
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Looking Forward and Back.
Introduction to Regression.
Introduction to Smoothing.
Bivariate Distributions.
Two-Dimensional Plots.
TOOLS.
Simple Linear Regression.
Introduction to Multiple Linear Regression.
Three-Dimensional Plots.
Weights and Lack-of-Fit.
Understanding Coefficients.
Relating Mean Functions.
Factors and Interactions.
Response Transformations.
Diagnostics I: Curvature and Nonconstant Variance.
Diagnostics II: Influence and Outliers.
Predictor Transformations.
Model Assessment.
REGRESSION GRAPHICS.
Visualizing Regression.
Visualizing Regression with Many Predictors.
Graphical Regression.
LOGISTIC REGRESSION AND GENERALIZED LINEAR MODELS.
Binomial Regression.
Graphical and Diagnostic Methods for Logistic Regression.
Generalized Linear Models.
Appendix.
References.
Indexes.
Introduction to Regression.
Introduction to Smoothing.
Bivariate Distributions.
Two-Dimensional Plots.
TOOLS.
Simple Linear Regression.
Introduction to Multiple Linear Regression.
Three-Dimensional Plots.
Weights and Lack-of-Fit.
Understanding Coefficients.
Relating Mean Functions.
Factors and Interactions.
Response Transformations.
Diagnostics I: Curvature and Nonconstant Variance.
Diagnostics II: Influence and Outliers.
Predictor Transformations.
Model Assessment.
REGRESSION GRAPHICS.
Visualizing Regression.
Visualizing Regression with Many Predictors.
Graphical Regression.
LOGISTIC REGRESSION AND GENERALIZED LINEAR MODELS.
Binomial Regression.
Graphical and Diagnostic Methods for Logistic Regression.
Generalized Linear Models.
Appendix.
References.
Indexes.