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Linear models in statistics

著者: Alvin C Rencher; G Bruce Schaalje
出版商: Hoboken, N.J. : Wiley-Interscience, ©2008.
版本/格式:   图书 : 英语 : 2nd ed查看所有的版本和格式
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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  再读一些...

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材料类型: 互联网资源
文件类型: 书, 互联网资源
所有的著者/提供者: Alvin C Rencher; G Bruce Schaalje
ISBN: 9780471754985 0471754986
OCLC号码: 144331522
描述: xvi, 672 p. : ill. ; 25 cm.
内容: 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.
责任: Alvin C. Rencher and G. Bruce Schaalje.
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"This indeed clearly written book will do great service for advanced undergraduate and also for PhD students." (International Statistical Review, Dec 2008) "This well-written book represents 再读一些...

 
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