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Linear models in statistics

Autore: Alvin C Rencher; G Bruce Schaalje
Editore: Hoboken, N.J. : Wiley-Interscience, ©2008.
Edizione/Formato:   Libro a stampa : English : 2nd edVedi tutte le edizioni e i formati
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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  Per saperne di più…

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Tipo materiale: Risorsa internet
Tipo documento Libro, Risorsa Internet
Tutti gli autori / Collaboratori: Alvin C Rencher; G Bruce Schaalje
{0} 9780471754985 0471754986
Numero OCLC: 144331522
Descrizione: xvi, 672 pages : illustrations ; 25 cm
Contenuti: 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.
Responsabilità: 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 Per saperne di più…

 
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