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Linear models in statistics

저자: Alvin C Rencher; G Bruce Schaalje
출판사: Hoboken, N.J. : Wiley-Interscience, ©2008.
판/형식:   Print book : 영어 : 2nd ed모든 판과 형식 보기
데이터베이스:WorldCat
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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  더 읽기…

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자료 유형: 인터넷 자료
문서 형식: 책, 인터넷 자원
모든 저자 / 참여자: Alvin C Rencher; G Bruce Schaalje
ISBN: 9780471754985 0471754986
OCLC 번호: 144331522
설명: xvi, 672 pages : illustrations ; 25 cm
내용: 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.
책임: 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 더 읽기…

 
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