Julian J. Faraway

Linear Models with R (eBook, PDF)

• Format: PDF

Produktbeschreibung

Like its widely praised, best-selling predecessor, this second edition explains how to use linear models in physical science, engineering, social science, and business applications. The material on interpreting linear models now distinguishes the main applications of prediction and explanation and introduces elementary notions of causality. This edition also covers QR decomposition, splines, additive models, Lasso, multiple imputation, and false discovery rates. It extensively uses R's ggplot2 graphics package in addition to base graphics.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 286
• Erscheinungstermin: 19. April 2016
• Englisch
• ISBN-13: 9781439887349
• Artikelnr.: 56962906

Autorenporträt

Julian J. Faraway

Inhaltsangabe

Introduction. Estimation. Inference. Prediction. Explanation. Diagnostics.
Problems with the Predictors. Problems with the Error. Transformation.
Model Selection. Shrinkage Methods. Insurance Redlining-A Complete Example.
Missing Data. Categorical Predictors. One Factor Models. Models with
Several Factors. Experiments with Blocks. Appendix: About R. Bibliography.
Index.