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 Gauss-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 Vector Spaces.- Appendix 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 Some Univariate Distributions.- Appendix Multivariate Distributions.- Appendix Tests and Confidence Intervals.- E.1 Confidence Intervals.- E.2 Hypothesis Testing.- Appendix Equivalent Linear Models.- F.1 Constrained and Unconstrained Models.- F.2 Estimable and Nonestimable Constraints.- Appendix Randomization Theory Models.- G.1 Simple Random Sampling.- G.2 Completely Randomized Designs.- G.3 Randomized Complete Block Designs.- References.- Author Index.
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Ronald Christensen is Professor of Statistics at the University of New Mexico, Fellow of the American Statistical Association (ASA) and the Institute of Mathematical Statistics, and former Chair of the ASA Section on Bayesian Statistical Science.
From the reviews of the fourth edition:
“Researchers and students interested in linear statistical models. ... I admire Christensen’s very personal and somehow easy-going writing style. ... All in all, Christensen’s fourth edition is an excellent course and reference book ... .” (Simo Puntanen, International Statistical Review, Vol. 79 (3), 2011)"About this title" may belong to another edition of this title.
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