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Linear Model Theory: Univariate, Multivariate, and Mixed Models by Paul W. Stewart, Keith E. Muller (Hardcover, 2006)

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A precise and accessible presentation of linear model theory, illustrated with data examples Statisticians often use linear models for data analysis and for developing new statistical methods. Most books on the subject have historically discussed univariate, multivariate, and mixed linear models separately, whereas Linear Model Theory: Univariate, Multivariate, and Mixed Models presents a unified treatment in order to make clear the distinctions among the three classes of models. Linear Model Theory: Univariate, Multivariate, and Mixed Models begins with six chapters devoted to providing brief and clear mathematical statements of models, procedures, and notation. Data examples motivate and illustrate the models. Chapters 7-10 address distribution theory of multivariate Gaussian variables and quadratic forms. Chapters 11-19 detail methods for estimation, hypothesis testing, and confidence intervals. The final chapters, 20-23, concentrate on choosing a sample size. Substantial sets of excercises of varying difficulty serve instructors for their classes, as well as help students to test their own knowledge. The reader needs a basic knowledge of statistics, probability, and inference, as well as a solid background in matrix theory and applied univariate linear models from a matrix perspective. Topics covered include: A review of matrix algebra for linear models The general linear univariate model The general linear multivariate model Generalizations of the multivariate linear model The linear mixed model Multivariate distribution theory Estimation in linear models Tests in Gaussian linear models Choosing a sample size in Gaussian linear models Filling the need for a text that provides the necessary theoretical foundations for applying a wide range of methods in real situations, Linear Model Theory: Univariate, Multivariate, and Mixed Models centers on linear models of interval scale responses with finite second moments. Models with complex predictors, complex responses, or both, motivate the presentation.

Product Identifiers

Publisher
John Wiley & Sons Inc
ISBN-13
9780471214885
eBay Product ID (ePID)
94502541

Product Key Features

Author
Paul w. Stewart, Keith E. Muller
Publication Name
Linear Model Theory: Univariate, Multivariate, and Mixed Models
Format
Hardcover
Language
English
Subject
Mathematics
Publication Year
2006
Type
Textbook
Number of Pages
424 Pages

Dimensions

Item Height
241mm
Item Width
159mm
Item Weight
746g

Additional Product Features

Title_Author
Keith E. Muller, Paul w. Stewart
Country/Region of Manufacture
United States

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Linear Model Theory: Univariate, Multivariate, and Mixed Models by Paul W. Stewart, Keith E. Muller (Hardcover, 2006)

About this product

Product Information

Product Identifiers

Product Key Features

Dimensions

Additional Product Features

Best Selling in Adult Learning & University

Australian Native Bee Book: Keeping Stingless Bee Hives for Pets, Pollination and Sugarbag Honey by Tim Heard (Paperback, 2015)

The Weed Forager's Handbook: A Guide to Edible and Medicinal Weeds in Australia by Adam Grubb, Annie Raser-Rowland (2012, Paperback)

Permaculture: A Designer's Manual by Bill Mollison (Hardcover, 1988)

The Falsification of History: Our Distorted Reality by John Hamer (Paperback, 2013)

In-Basket Case Studies by Guy Adamson (Paperback, 1986)

Empire of the Summer Moon: Quanah Parker and the Rise and Fall of the Comanches, the Most Powerful Indian Tribe in American History by S.C. Gwynne (Paperback, 2011)

Botanical Field Guide by Stefan Mager (Fold-out book or chart, 2021)

Save on Adult Learning & University

Netter Atlas of Human Anatomy: Classic Regional Approach

Havard's Nursing Guide to Drugs

Steven Holzner Physics Essentials For Dummies (Paperback)

T. Jared Bunch Matthew LaPlante John D. Day The AFib Cure (Paperback)

Care of People with Diabetes: A Manual for Healthcare Practice

The Fourth Turning By Neil Howe, William Strauss

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