9781420062014

A Primer on Linear Models (Chapman & Hall/CRC Texts in Statistical Science)

Monahan, John F.

ISBN 10: 1420062018 / 1-4200-6201-8
ISBN 13: 9781420062014
Publisher: Chapman and Hall/CRC
Publication Date: 2008
Binding: Softcover
Editorial Reviews for this title:
Synopsis:
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.

With coverage steadily progressing in complexity, the text first provides examples of the general linear model, including multiple regression models, one-way ANOVA, mixed-effects models, and time series models. It then introduces the basic algebra and geometry of the linear least squares problem, before delving into estimability and the Gauss–Markov model. After presenting the statistical tools of hypothesis tests and confidence intervals, the author analyzes mixed models, such as two-way mixed ANOVA, and the multivariate linear model. The appendices review linear algebra fundamentals and results as well as Lagrange multipliers.

This book enables complete comprehension of the material by taking a general, unifying approach to the theory, fundamentals, and exact results of linear models.


Editorial reviews may belong to another edition of this title.
 

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Book Description: 2008. Paperback. Book Condition: New. 1st. 150mm x 15mm x 231mm. Paperback. 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 seamles.Shipping may be from multiple locations in the US or from the UK, depending on stock availability. 304 pages. 0.431. Bookseller Inventory # 9781420062014

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Book Description: Chapman and Hall/CRC, 2008. Book Condition: New. Brand New, Unread Copy in Perfect Condition. A+ Customer Service! Summary: 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. Bookseller Inventory # ABE_book_new_1420062018

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Book Description: 2008. Paperback. Book Condition: New. 1st. 150mm x 15mm x 231mm. Paperback. 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 incorp.Shipping may be from our UK, US or Australian warehouse depending on stock availability. 304 pages. 0.431. Bookseller Inventory # 9781420062014

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