The coordinate-free approach to linear models /

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Bibliographic Details
Author / Creator:Wichura, Michael J. (Michael John)
Imprint:New York : Cambridge University Press, 2006.
Description:1 online resource (xiii, 199 pages)
Language:English
Series:Cambridge series on statistical and probabilistic mathematics
Cambridge series on statistical and probabilistic mathematics.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11830506
Hidden Bibliographic Details
ISBN:9780511349867
0511349866
9780511546822
0511546823
0521868424
9780521868426
Notes:Includes bibliographical references and index.
Print version record.
Summary:"This book is about the coordinate-free, or geometric, approach to the theory of linear models, more precisely, Model I ANOVA and linear regression models with nonrandom predictors in a finite-dimensional setting. This approach is more insightful, more elegant, more direct, and simpler than the more common matrix approach to linear regression, analysis of variance, and analysis of covariance models in statistics. The book discusses the intuition behind and optimal properties of various methods of estimating and testing hypotheses about unknown parameters in the models."--Jacket.
Other form:Print version: Wichura, Michael J. (Michael John). Coordinate-free approach to linear models. New York : Cambridge University Press, 2006 0521868424