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Book Categories |
Why use this book | ||
1 | An introduction to analysis of variance | 1 |
2 | Regression | 22 |
3 | Models, parameters and GLMs | 47 |
4 | Using more than one explanatory variable | 56 |
5 | Designing experiments - keeping it simple | 76 |
6 | Combining continuous and categorical variables | 96 |
7 | Interactions - getting more complex | 110 |
8 | Checking the models I: independence | 136 |
9 | Checking the models II: the other three asumptions | 153 |
10 | Model selection I: principles of model choice and designed experiments | 186 |
11 | Model selection II: datasets with several explanatory variables | 209 |
12 | Random effects | 232 |
13 | Categorical data | 255 |
14 | What lies beyond? | 281 |
15 | Answers to exercises | 285 |
App. 1 | The meaning of p-values and confidence intervals | 332 |
App. 2 | Analytical results about variances and sample means | 335 |
App. 3 | Probability distributions | 339 |
Bibliography | 343 | |
Index | 345 |
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