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Methods and Applications of Linear Models: Regression and the Analysis of Variance Book

Methods and Applications of Linear Models: Regression and the Analysis of Variance
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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
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  • Methods and Applications of Linear Models: Regression and the Analysis of Variance
  • Written by author Ronald R. Hocking
  • Published by Wiley, John & Sons, Incorporated, 8/5/2013
  • 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
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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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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

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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

Methods and Applications of Linear Models: Regression and the Analysis of Variance

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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

Methods and Applications of Linear Models: Regression and the Analysis of Variance

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