Hardcover 1st printing with very clean, bright covers. Pages tight, clean, unmarked. Previous owner's name stamp on first free endpaper. DJ clean, glossy, bright, with minimal wear (no tears) . ;

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Bibliographic Details

Title

LINEAR MODELS FOR UNBALANCED DATA.

Publisher

John Wiley & Sons,, New York:

Publication Date

1987

Language

English

ISBN 10

0471840963

ISBN 13

9780471840961

Binding

Hardcover

Edition

1st Edition

Condition

Dust Jacket Condition

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About this title

Synopsis

This presentation of the fundamentals of linear statistical models is unique in its total devotion to unbalanced data (data having unequal numbers of observations in the subclasses) and its emphasis on the up–to–date cell means model approach to linear models for unbalanced data. Unbalanced data are harder to analyze and understand than balanced data, but are becoming more prevalent through computer storage of data. Topics covered include 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, comments on computing packages, and much more. Includes references and statistical tables.

Review

" I would recommend this book to undergraduate students as well as graduates." ( MAA Reviews, January 28, 2008)

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Nelson & Nelson, Booksellers
SC, U.S.A.

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