Linear models in statistics / Alvin C. Rencher and G. Bruce Schaalje.
By: Rencher, Alvin C
Contributor(s): Schaalje, G. Bruce
Material type: 
TextLanguage: English Publisher: Hoboken, N.J. : Wiley-Interscience, c2008Edition: 2nd edDescription: xvi, 672 p. : ill. ; 25 cmISBN: 9780471754985 (cloth); 0471754986 (cloth)Subject(s): Linear models (Statistics)DDC classification: 519.535 LOC classification: QA276 | .R425 2008Online resources: http://www.worldcat.org/title/linear-models-in-statistics/oclc/144331522&referer=brief_results | http://lib.ewubd.edu/ebook/6537 | Item type | Current location | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds |
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E-Book
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EWU Library E-book | Non-fiction | 519.535 REL 2008 (Browse shelf) | Not for loan | ||||
Text
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EWU Library Reserve Section | Non-fiction | 519.535 REL 2008 (Browse shelf) | C-1 | Not For Loan | 26926 |
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| 519.535 NEI 2006 An introduction to copulas / | 519.535 PES 2010 A SAS/IML companion for linear models / | 519.535 PUM 2011 Matrix tricks for linear statistical models : | 519.535 REL 2008 Linear models in statistics / | 519.535 REM 2012 Methods of multivariate analysis / | 519.536 ANR 2010 Regression with linear predictors / | 519.536 APP 2005 Applied linear statistical models / |
Includes bibliographical references and index.
Table of contents Matrix algebra --
Random vectors and matrices --
Multivariate normal distribution --
Distribution of quadratic forms in y --
Simple linear regression --
Multiple regression : estimation --
Multiple regression : tests of hypotheses and confidence intervals --
Multiple regression : model validation and diagnostics --
Multiple regression : random x's --
Multiple regression : Bayesian inference --
Analysis-of-variance models --
One-way analysis-of-variance : balanced case --
Two-way analysis-of-variance : balanced case --
Analysis-of-variance : the cell mean model for unbalanced data --
Analysis-of-covariance --
Linear mixed models --
Additional models.
Summary:
This new edition discusses classical linear models from a matrix algebra perspective, making the subject easily accessible to readers encountering linear models for the first time. It provides a Read more...
Applied Statistics
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