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Linear Regression [2003]
- 1
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Vectors of Random Variables
- 3
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Fundamentals
- 17
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Multivariate Normal Distribution
- 33
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The Linear Regression Model
- 35
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Linear Regression: Estimation and Distribution Theory
- 89
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Alternative Estimators
- 97
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Hypothesis Testing
- 119
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Confidence Intervals and Regions
- 139
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Straight‐Line Regression
- 165
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Polynomial Regression
- 187
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Analysis of Variance
- 213
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Linear Admissibility
- 227
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Departures from Underlying Assumptions
- 259
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The Covariance Matrix of the Error Vector
- 265
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Departures from Assumptions: Diagnosis and Remedies
- 293
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Regression Diagnostics
- 329
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Computational Algorithms for Fitting a Regression
- 331
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Matrix Algebra
- 359
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Stochastic Vectors
- 369
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An Example Analysis with R
- 391
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Prediction and Model Selection
- 457
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Appendix A: Some Matrix Algebra
- 475
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Appendix B: Orthogonal Projections
- 479
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Appendix C: Tables
- 491
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Outline Solutions to Selected Exercises
- 531
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References
- 549
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Index
- 559
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Wiley Series in Probability and Statistics
- i
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Front Matter