Normal view MARC view ISBD view

A primer on linear models

By: Monahan, John F.
Series: Texts in statistical science. Publisher: Boca Raton Chapman and Hall/CRC Press 2008Description: xiv, 287 p.ISBN: 9781420062014.Subject(s): Linear models (Statistics)DDC classification: 519.5 Summary: A Primer on Linear Models presents a concise yet complete foundation for understanding basic linear models. Designed for a one-semester graduate course, this textbook begins with a practical discussion of basic algebraic and geometric concepts as they apply to the linear model. The book's two distinguishing features are the constant use of non-full-rank design matrices to seamlessly incorporate regression, analysis of variance (ANOVA), and various mixed models and attention to the exact, finite sample theory supporting common statistical methods. A Primer on Linear Models provides a brief, yet complete foundation for the understanding of basic linear models. It focuses on the theory behind the methodology students learn in other courses. As a result, the style follows the route of theorem/proof/corollary/example/exercise with discussions of the motivations for the assumptions from theory and practice. The coverage progresses steadily in both difficulty and sophistication of the proofs, discussion, and exercises, paralleling the growth of students as they master the subject. Avoiding leaps in the development and proofs, or referring to other sources for the details of the proofs, the author demonstrates the complete development of the material. This gives students learning the material for the first time enough information to understand complex concepts with confidence. Source: http://search.barnesandnoble.com
Tags from this library: No tags from this library for this title. Log in to add tags.
    average rating: 0.0 (0 votes)
Item type Current location Item location Call number Status Date due Barcode
Books Vikram Sarabhai Library
Slot 1415 (0 Floor, East Wing) 519.5 M6P7 (Browse shelf) Available 167127

Includes bibliographical references (p. 273-276) and index.

A Primer on Linear Models presents a concise yet complete foundation for understanding basic linear models. Designed for a one-semester graduate course, this textbook begins with a practical discussion of basic algebraic and geometric concepts as they apply to the linear model. The book's two distinguishing features are the constant use of non-full-rank design matrices to seamlessly incorporate regression, analysis of variance (ANOVA), and various mixed models and attention to the exact, finite sample theory supporting common statistical methods. A Primer on Linear Models provides a brief, yet complete foundation for the understanding of basic linear models. It focuses on the theory behind the methodology students learn in other courses. As a result, the style follows the route of theorem/proof/corollary/example/exercise with discussions of the motivations for the assumptions from theory and practice. The coverage progresses steadily in both difficulty and sophistication of the proofs, discussion, and exercises, paralleling the growth of students as they master the subject. Avoiding leaps in the development and proofs, or referring to other sources for the details of the proofs, the author demonstrates the complete development of the material. This gives students learning the material for the first time enough information to understand complex concepts with confidence. Source: http://search.barnesandnoble.com

There are no comments for this item.

Log in to your account to post a comment.

Powered by Koha