Description
Book SynopsisRegression analysis is the study of the dependence of a response variable on one or more predictor variables. It is among the most widely used methods in statistics. In recent years, several new ways to approach regression have been presented.
Trade Review"...with its up-to-date discussion of regression graphics at a very accessible level, Applied Regression Including Computing and Graphics is a must for everyone working in the area of regression analysis. I strongly recommend it as a text..." (Journal of the American Statistical Association, September 2001)
"...a must for everyone working in the area of regression analysis. I strongly recommend it as a text..." (Journal of the American Statistical Association, September 2001)
Table of ContentsLooking 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.
