Linear Models with R, Third Edition explains how to use linear models in physical science, engineering, social science, and business applications. The book incorporates several improvements that reflect how the world of R has expanded since the publication of the second edition.
Linear Models with R, Third Edition explains how to use linear models in physical science, engineering, social science, and business applications. The book incorporates several improvements that reflect how the world of R has expanded since the publication of the second edition.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Julian J. Faraway is a professor of statistics in the Department of Mathematical Sciences at the University of Bath. He is an applied statistician with particular application to human motion, air pollution, anxiety and depression, astronomy, cleft lip and palate, flooding, fungicides, fuel filters, marketing, obesity and wastewater-based epidemiology. He earned a PhD in statistics from the University of California, Berkeley.
Inhaltsangabe
Preface 1. Introduction 2. Estimation 3. Inference 4. Sampling 5. Prediction 6. Explanation and Causation 7. Diagnostics 8. Predictor issues 9. Modeling with the Error 10. Transformation 11. Model Selection 12. Regularization 13. Insurance Redlining - A Complete Example 14. Missing Data 15. Categorical Predictors 16. One Factor Models 17. Models with Several Factors 18. Experiments with Blocks Appendix A. About R Bibliography Index
Preface 1. Introduction 2. Estimation 3. Inference 4. Sampling 5. Prediction 6. Explanation and Causation 7. Diagnostics 8. Predictor issues 9. Modeling with the Error 10. Transformation 11. Model Selection 12. Regularization 13. Insurance Redlining - A Complete Example 14. Missing Data 15. Categorical Predictors 16. One Factor Models 17. Models with Several Factors 18. Experiments with Blocks Appendix A. About R Bibliography Index
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