Linear models in statistics / Alvin C. Rencher and G. Bruce Schaalje.

By: Rencher, Alvin C, 1934-Contributor(s): Schaalje, G. Bruce Material type: Text

TextLanguage: English Publication details: Hoboken, N.J. : Wiley-Interscience, c2008. Edition: 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

Contents:

TOC 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: 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...

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode	Item holds
E-Book	Dr. S. R. Lasker Library, EWU E-book	Non-fiction	519.535 REL 2008 (Browse shelf(Opens below))		Not for loan
Text	Dr. S. R. Lasker Library, EWU Reserve Section	Non-fiction	519.535 REL 2008 (Browse shelf(Opens below))	C-1	Not For Loan		26926

Total holds: 0

Includes bibliographical references and index.

TOC 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...

Saifun Momota

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