Statistical Models in SJohn M. Chambers, Trevor Hastie This book contains a collection of ten articles by noted statistical researchers on implementing recent ideas in statistical computing using S. The software, S, can be purchased from AT&T Bell Laboratories in North Carolina or Statistical Science Inc in Seattle, WA. |
Contents
An Appetizer | 1 |
Statistical Models | 15 |
Data for Models | 45 |
Copyright | |
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Common terms and phrases
1m object additive model algorithm aliasing analysis of variance anova argument attribute binomial Chapter character vector classes of objects coefficients columns components computations Conc contrasts coplot corresponding data frame default defined degrees of freedom dendrogram described deviance Disp displayed effects estimate ethanol evaluation example expression Figure fitted model fitted values Fuel function Gaussian glm object inherited interaction intercept iteration k-d tree Kyphosis labels least-squares levels linear models local regression loess median 3rd Q method Mileage missing values model formula model frame model matrix newdata node nonlinear regression nonparametric Number of Observations optional orthogonal PadType panel plot pointwise polynomial predict produce quadratic regression model replacement Residual Standard Error response variable result returned scatterplot Section smooth term smoother smoothing splines Solder specified split standard errors statistical subset subtree sum of squares summary surface tree object tree-based models update wave-soldering Weight