内容

目次

Why use this book; 1. An introduction to the analysis of variance; 2.Regression; 3. Models, parameters and GLMs; 4. Using more than oneexplanatory variable; 5. Designing experiments - keeping it simple; 6.Combining continuous and categorical variables; 7. Interactions - gettingmore complex; 8. Checking the models A: Independence; 9. Checking the modelsB: The other three assumptions; 10. Model selection I: Principles of modelchoice and designed experiments; 11. Model selection II: Data sets withseveral explanatory variables; 12. Random effects; 13. Categorical data; 14.What lies beyond?; Answers to exercises; Revision section: The basics;Appendix I: The meaning of p-values and confidence intervals; Appendix II:Analytical results about variances of sample means; Appendix III: Probabilitydistributions; Bibliography