Extending the linear model with R : generalized linear, mixed effects and nonparametric regression models /: generalized linear, mixed effects and nonparametric regression models. (2006)

• Record Type: Book
• Further Information: Note: Julian J. Faraway.
• Authors: Faraway, Julian James
• Contents: INTRODUCTION; ; BINOMIAL DATA; Challenger Disaster Example; Binomial Regression Model; Inference; Tolerance Distribution; Interpreting Odds; Prospective and Retrospective Sampling; Choice of Link Function; Estimation Problems; Goodness of Fit; Prediction and Effective Doses; Overdispersion; Matched Case-Control Studies; ; COUNT REGRESSION; Poisson Regression; Rate Models; Negative Binomial; ; CONTINGENCY TABLES; Two-by-Two Tables; Larger Two-Way Tables; Matched Pairs; Three-Way Contingency Tables; Ordinal Variables; ; MULTINOMIAL DATA; Multinomial Logit Model; Hierarchical or Nested Responses; Ordinal Multinomial Responses; ; GENERALIZED LINEAR MODELS; GLM Definition; Fitting a GLM; Hypothesis Tests; GLM Diagnostics; ; OTHER GLMS; Gamma GLM; Inverse Gaussian GLM; Joint Modeling of the Mean and Dispersion; Quasi-Likelihood; ; RANDOM EFFECTS; Estimation; Inference; Predicting Random Effects; Blocks as Random Effects; Split Plots; Nested Effects; Crossed Effects; Multilevel Models; ; REPEATED MEASURES AND LONGITUDINAL DATA; Longitudinal Data; Repeated Measures; Multiple Response Multilevel Models; ; MIXED EFFECT MODELS FOR NONNORMAL RESPONSES; Generalized Linear Mixed Models; Generalized Estimating Equations; ; NONPARAMETRIC REGRESSION; Kernel Estimators; Splines; Local Polynomials; Wavelets; Other Methods; Comparison of Methods; Multivariate Predictors; ; ADDITIVE MODELS; Additive Models Using the gam Package; Additive Models Using mgcv; Generalized Additive Models; Alternating Conditional Expectations; Additivity and Variance Stabilization; Generalized Additive Mixed Models; Multivariate Adaptive Regression Splines; ; TREES; Regression Trees; Tree Pruning; Classification Trees; ; NEURAL NETWORKS; Statistical Models as NNs; Feed-Forward Neural Network with One Hidden Layer; NN Application; Conclusion; ; APPENDICES; Likelihood Theory; R Information; Bibliography; Index
• Publisher Details: Boca Raton : Chapman & Hall/CRC
• Publication Date: 2006
• Extent: 1 online resource (ix, 301 pages), illustrations
• Subjects: 519.5; Analysis of variance; Regression analysis; R (Computer program language) -- Mathematical models; MATHEMATICS -- Probability & Statistics -- General; Electronic books; Electronic books
• Languages: English
• ISBNs: 0203492285; 9780203492284; 0203621050; 9780203621059; 9786610348275; 6610348278
• Related ISBNs: 158488424X
• Notes: Note: Includes bibliographical references (pages 289-295) and index.; Note: Print version record.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.