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Linear Models for Unbalanced Data Paperback - 2006 - 1st Edition

Name: Linear Models for Unbalanced Data
Price: 45.00 USD
Availability: InStock
Author: Searle, Shayle R.
ISBN: 9780470040041

by Shayle R. Searle

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From the publisher

WILEY-INTERSCIENCE PAPERBACK SERIES

The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists.

"[This book] provides an excellent discussion of the methodology and interpretation of linear models analysis of unbalanced data (data having unequal numbers of observations in the subclasses), generally without matrices?the author does an excellent job of emphasizing the more practical nature of the book. Highly recommended for graduate and undergraduate libraries."
?"Choice

"This is a very comprehensive text, aimed at both students studying linear-model theory and practicing statisticians who require an understanding of the model-fitting procedures incorporated in statistical packages?This book should be considered as a text for college courses as it provides a clearly presented and thorough treatment of linear models. It will also be useful to any practicing statistician who has to analyze unbalanced data, perhaps arising from surveys, and wishes to understand the output from model-fitting procedures and the discrepancies in analysis from one recognized package to another."
?"Biometrics

This newly available and affordably priced paperback version of Linear Models for Unbalanced Data offers a presentation of the fundamentals of linear statistical models unique in its total devotion to unbalanced data and its emphasis on the up-to-date cell means model approach to linear models for unbalanced data. Topic coverage includes cell means models, 1-way classification, nested classifications, 2-way classification with some-cells-empty data, models with covariables, matrix algebra and quadratic forms, linear model theory, and much more.

From the rear cover

WILEY-INTERSCIENCE PAPERBACK SERIES

The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists.

"[This book] provides an excellent discussion of the methodology and interpretation of linear models analysis of unbalanced data (data having unequal numbers of observations in the subclasses), generally without matrices?the author does an excellent job of emphasizing the more practical nature of the book. Highly recommended for graduate and undergraduate libraries."
� Choice

"This is a very comprehensive text, aimed at both students studying linear-model theory and practicing statisticians who require an understanding of the model-fitting procedures incorporated in statistical packages?This book should be considered as a text for college courses as it provides a clearly presented and thorough treatment of linear models. It will also be useful to any practicing statistician who has to analyze unbalanced data, perhaps arising from surveys, and wishes to understand the output from model-fitting procedures and the discrepancies in analysis from one recognized package to another."
� Biometrics

This newly available and affordably priced paperback version of Linear Models for Unbalanced Data offers a presentation of the fundamentals of linear statistical models unique in its total devotion to unbalanced data and its emphasis on the up-to-date cell means model approach to linear models for unbalanced data. Topic coverage includes cell means models, 1-way classification, nested classifications, 2-way classification with some-cells-empty data, models with covariables, matrix algebra and quadratic forms, linear model theory, and much more.

Details

Title Linear Models for Unbalanced Data
Author Shayle R. Searle
Binding Paperback
Edition number 1st
Edition 1
Pages 576
Volumes 1
Language ENG
Publisher Wiley-Interscience
Date March 17, 2006
Illustrated Yes
ISBN 9780470040041 / 0470040041
Weight 1.65 lbs (0.75 kg)
Dimensions 9.2 x 6.1 x 1 in (23.37 x 15.49 x 2.54 cm)
Library of Congress subjects Analysis of variance, Linear models (Statistics)
Library of Congress Catalog Number 2006274097
Dewey Decimal Code 519.538

Media reviews

Citations

Scitech Book News, 06/01/2007, Page 26

About the author

SHAYLE R. SEARLE, PhD, is Professor Emeritus of Biometry at Cornell University. He is the author of Linear Models, Matrix Algebra Useful for Statistics, and Variance Components, all published by Wiley.

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Linear Models for Unbalanced Data

by Searle, Shayle R.

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Used - Good with no dust jacket

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Hardcover

ISBN 10 / ISBN 13

9780470040041 / 0470040041

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Description:

John Wiley & Sons. Good with no dust jacket. 1987. Hardcover. 0470040041 . Exlibrary with usual library markings. Hardcover. Same as later paperback reprint. Repaired hinges. Rebacked binding. ; 536 pages .

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