Author | Christensen, Ronald. author |
---|---|

Title | Plane Answers to Complex Questions [electronic resource] : The Theory of Linear Models / by Ronald Christensen |

Imprint | New York, NY : Springer New York : Imprint: Springer, 1996 |

Edition | Second Edition |

Connect to | http://dx.doi.org/10.1007/978-1-4757-2477-6 |

Descript | XVII, 453 p. online resource |

SUMMARY

The second edition of Plane Answers has many additions and a couple of deletions. New material includes additional illustrative examples in Apยญ pendices A and B and Chapters 2 and 3, as well as discussions of Bayesian estimation, near replicate lack of fit tests, testing the independence assumpยญ tion, testing variance components, the interblock analysis for balanced inยญ complete block designs, nonestimable constraints, analysis of unreplicated experiments using normal plots, tensors, and properties of Kronecker prodยญ ucts and Vee operators. The book contains an improved discussion of the relation between ANOVA and regression, and an improved presentation of general Gauss-Markov models. The primary material that has been deleted are the discussions of weighted means and of log-linear models. The mateยญ rial on log-linear models was included in Christensen (1990b), so it became redundant here. Generally, I have tried to clean up the presentation of ideas wherever it seemed obscure to me. Much of the work on the second edition was done while on sabbatical at the University of Canterbury in Christchurch, New Zealand. I would parยญ ticularly like to thank John Deely for arranging my sabbatical. Through their comments and criticisms, four people were particularly helpful in conยญ structing this new edition. I would like to thank Wes Johnson, Snehalata Huzurbazar, Ron Butler, and Vance Berger

CONTENT

1 Introduction -- 2 Estimation -- 3 Testing Hypotheses -- 4 One-Way ANOVA -- 5 Multiple Comparison Techniques -- 6 Regression Analysis -- 7 Multifactor Analysis of Variance -- 8 Experimental Design Models -- 9 Analysis of Covariance -- 10 Estimation and Testing in General Gaussโ{128}{148}Markov Models -- 11 Split Plot Models -- 12 Mixed Models and Variance Components -- 13 Checking Assumptions, Residuals, and Influential Observations -- 14 Variable Selection and Collinearity -- Appendix A: Vector Spaces -- Appendix B: Matrix Results -- B.1 Basic Ideas -- B.2 Eigenvalues and Related Results -- B.3 Projections -- B.4 Miscellaneous Results -- B.5 Properties of Kronecker Products and Vec Operators -- B.6 Tensors -- Appendix C: Some Univariate Distributions -- Appendix D: Multivariate Distributions -- Appendix E: Tests and Confidence Intervals -- E.1 Confidence Intervals -- E.2 Hypothesis Testing -- Appendix F: Equivalent Linear Models -- F.1 Constrained and Unconstrained Models -- F.2 Estimable and Nonestimable Constraints -- Appendix G: Randomization Theory Models -- G.1 Simple Random Sampling -- G.2 Completely Randomized Designs -- G.3 Randomized Complete Block Designs -- References -- Author Index

Mathematics
Applied mathematics
Engineering mathematics
Statistics
Mathematics
Applications of Mathematics
Statistical Theory and Methods