Plane Answers to Complex Questions (eBook)

The Theory of Linear Models
Artikelnummer: 978-1-4757-2477-6
Einband: PDF
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The second edition of Plane Answers has many additions and a couple of deletions. New material includes additional illustrative examples in Ap­ 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 assump­ tion, testing variance components, the interblock analysis for balanced in­ complete block designs, nonestimable constraints, analysis of unreplicated experiments using normal plots, tensors, and properties of Kronecker prod­ 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 mate­ 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 par­ ticularly like to thank John Deely for arranging my sabbatical. Through their comments and criticisms, four people were particularly helpful in con­ structing this new edition. I would like to thank Wes Johnson, Snehalata Huzurbazar, Ron Butler, and Vance Berger.

The second edition of Plane Answers has many additions and a couple of deletions. New material includes additional illustrative examples in Ap­ 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 assump­ tion, testing variance components, the interblock analysis for balanced in­ complete block designs, nonestimable constraints, analysis of unreplicated experiments using normal plots, tensors, and properties of Kronecker prod­ 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 mate­ 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 par­ ticularly like to thank John Deely for arranging my sabbatical. Through their comments and criticisms, four people were particularly helpful in con­ structing this new edition. I would like to thank Wes Johnson, Snehalata Huzurbazar, Ron Butler, and Vance Berger.

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VerlagSpringer New York
EinbandPDF
Erscheinungsjahr2013
Seitenangabe453 S.
AusgabekennzeichenEnglisch
AbbildungenXVII, 453 p.
Auflage2nd ed. 1996
PlattformPDF
ReiheSpringer Texts in Statistics
AutorChristensen, Ronald

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Über den Autor Ronald Christensen

Ronald Christensen is a Distinguished Professor of Statistics at the University of New Mexico. He is well known for his work on the theory and application of statistical models having linear structure. In addition to numerous technical articles, he is the author of Plane Answers to Complex Questions: The Theory of Linear Models; Advanced Linear Modeling: Statistical Learning and Dependent Data; Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced Data and coauthor of Bayesian Ideas and Data Analysis: An Introduction for Scientists and Statisticians. Dr. Christensen is a fellow of the American Statistical Association (ASA) and the Institute of Mathematical Statistics. His is a past editor of The American Statistician and a past chair of the ASA's Section on Bayesian Statistical Science.

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