Linear Model Theory
Univariate, Multivariate, and Mixed Models
A precise and accessible presentation of linear model theory, illustrated with data examples Statisticians often use linear models for data analysis and for developing new statistical methods. Most books on the subject have historically discussed univariate, multivariate, and mixed linear models separately, whereas Linear Model Theory: Univariate, Multivariate, and Mixed Models presents a unified treatment in order to make clear the distinctions among the three classes of models. Linear Model Theory: Univariate, Multivariate, and Mixed Models begins with six chapters devoted to providing brief and clear mathematical statements of models, pro…
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Produktdetails
Weitere Autoren: Muller, Keith E.
- ISBN: 978-0-470-05213-6
- EAN: 9780470052136
- Produktnummer: 13946089
- Verlag: Wiley
- Sprache: Englisch
- Erscheinungsjahr: 2006
- Seitenangabe: 480 S.
- Plattform: PDF
- Masse: 25'055 KB
Über den Autor
KEITH E. MULLER, PhD, is Professor and Director of the Division of Biostatistics in the Department of Epidemiology and Health Policy Research in the College of Medicine at the University of Florida in Gainesville, as well as Professor Emeritus of Biostatistics at The University of North Carolina at Chapel Hill where the book was written. PAUL W. STEWART, PhD, is Research Associate Professor of Biostatistics at The University of North Carolina at Chapel Hill.
1 weiteres Werk von Paul W. Stewart:
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