Books : A Primer on Linear Models (Texts in Statistical Science Series)

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Author name: John F. Monahan

 : A Primer on Linear Models (Texts in Statistical Science Series)
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Type of bind: Paperback
Dewey Decimal Number: 519.5
EAN num: 9781420062014
ISBN number: 1420062018
Label: Chapman & Hall/CRC
Manufacturer: Chapman & Hall/CRC
Quantity: 1
Page Count: 304
Printing Date: March 31, 2008
Publishing house: Chapman & Hall/CRC
Sale Popularity Level: 83581
Studio: Chapman & Hall/CRC




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Editor's Notes and Comments:

Product Description:
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 very 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.



Customer Reviews
User popularity level:  out of 5 stars

Rated by buyers 5 out of 5 stars - Very good book!
I have been using this book for my class - Linear Statistical Models. This book is very easy to follow and has a lot of good exercises. Highly recommended!!!



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