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Preface to the Second Edition | ||
Preface to the First Edition | ||
Pt. I | Regression Models | 1 |
1 | Introduction to Linear Models | 3 |
2 | Regression on Functions of One Variable | 23 |
3 | Transforming the Data | 83 |
4 | Regression on Functions of Several Variables | 103 |
5 | Collinearity in Multiple Linear Regression | 151 |
6 | Influential Observations in Multiple Linear Regression | 193 |
7 | Polynomial Models and Qualitative Predictors | 229 |
8 | Additional Topics | 271 |
Pt. II | Analysis of Variance Models | 293 |
9 | Introduction to Analysis of Variance Models | 295 |
10 | Fixed Effects Models I: One-Way Classification of Means | 309 |
11 | Fixed Effects Models II: Two-Way Classification of Means | 343 |
12 | Fixed Effects Models III: Multiple Crossed and Nested Factors | 401 |
13 | Mixed Models I: The AOV Method with Balanced Data | 437 |
14 | Mixed Models II: The AVE Method with Balanced Data | 489 |
15 | Mixed Models III: Unbalanced Data | 539 |
Pt. III | Mathematical Theory of Linear Models | 589 |
16 | Distribution of Linear and Quadratic Forms | 591 |
17 | Estimation and Inference for Linear Models | 615 |
18 | Simultaneous Inference: Tests and Confidence Intervals | 653 |
App. A | Mathematics | 679 |
App. B | Statistics | 699 |
App. C | Statistical Tables | 703 |
App. D | Data Tables | 709 |
References | 727 | |
Index | 737 |
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Add Methods and Applications of Linear Models: Regression and the Analysis of Variance, Regression and analysis of variance represent 90 of all applied statistical analysis. This book is unique in that it represents a unified treatment of these two areas. This view is carried out through chapters discussing linear models, distribution of lin, Methods and Applications of Linear Models: Regression and the Analysis of Variance to the inventory that you are selling on WonderClubX
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Add Methods and Applications of Linear Models: Regression and the Analysis of Variance, Regression and analysis of variance represent 90 of all applied statistical analysis. This book is unique in that it represents a unified treatment of these two areas. This view is carried out through chapters discussing linear models, distribution of lin, Methods and Applications of Linear Models: Regression and the Analysis of Variance to your collection on WonderClub |