Extending the Linear Model With R

Un libro in lingua di Faraway Julian J. edito da Chapman & Hall, 2016

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Faraway surveys statistical techniques that grow from a linear model, describing three extensions. A practicing statistician needs to be aware of and familiar with the basic use of a broad range of ideas and techniques, he says, so here he privileges breadth over depth. He covers binary response, binomial and proportion responses, variations on logistic regression, count regression, contingency tables, multinomial data, generalized linear models, random effects, repeated measures and longitudinal data, Bayesian mixed effect models, mixed effect models for non-normal responses, nonparametric regression, additive models, trees, and neural networks. Annotation ©2016 Ringgold, Inc., Portland, OR (protoview.com)

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