John F. Monahan

A Primer on Linear Models (eBook, ePUB)

• Format: ePub

Produktbeschreibung

A Primer on Linear Models presents a unified, thorough, and rigorous development of the theory behind the statistical methodology of regression and analysis of variance (ANOVA). It seamlessly incorporates these concepts using non-full-rank design matrices and emphasizes the exact, finite sample theory supporting common statistical methods.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Erscheinungstermin: 31. März 2008
• Englisch
• ISBN-13: 9781040079218
• Artikelnr.: 72531580

Autorenporträt

John F. Monahan

Inhaltsangabe

Preface. Examples of the General Linear Model. The Linear Least Squares Problem. Estimability and Least Squares Estimators. Gauss-Markov Model. Distributional Theory. Statistical Inference. Further Topics in Testing. Variance Components and Mixed Models. The Multivariate Linear Model. Appendices. Bibliography.

Rezensionen

"I found the book very helpful. âEUR¦ the result is very nice, very readable. In particular, I like the idea of avoiding leaps in the development and proofs, or referring to other sources for the details of the proofs. This is a useful well-written instructive book."
~International Statistical Review

"This work provides a brief, and also complete, foundation for the theory of basic linear models . . . can be used for graduate courses on linear models."
~Nicoleta Breaz, Zentralblatt Math

". . . well written . . . would serve well as the textbook for an introductory course in linear models, or as references for researchers who would like to review the theory of linear models."
~Justine Shults, Journal of Biopharmaceutical Statistics