Name: linear model theory: univariate, multivariate, and mixed models
Price: 646849.00 COP
Availability: InStock
Author: keith e. muller, paul w. stewart
ISBN: 9780471214885

portada linear model theory: univariate, multivariate, and mixed models

linear model theory: univariate, multivariate, and mixed models

Formato

Libro Físico

Editorial

wiley-interscience

Autor

keith e. muller, paul w. stewart

N° páginas

410.00

ISBN

0471214884

ISBN13

9780471214885

Categorías

Probabilidad y estadística

linear model theory: univariate, multivariate, and mixed models

Keith E. Muller, Paul W. Stewart (Autor) · wiley-interscience · Libro Físico

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Reseña del libro "linear model theory: univariate, multivariate, and mixed models"

statisticians often use linear models for data analysis, and for developing new statistical methods. a solid understanding of the underlying theory provides the foundation for success in either endeavor. historically, univariate, multivariate and mixed linear models have been discussed separately. in contrast, the authors sought a unified treatment in order to make clear the distinctions among the three classes of models. no single formulation proves uniformly best, therefore choosing the best approach requires a detailed knowledge of the differences and similarities. the authors believe that a student needs to acquire four sets of skills. 1. using all three classes of linear models correctly in practice requires knowing enough theory, especially a deep understanding of assumptions and their possible violations. however, the authors leave detailed discussions of diagnostics and data analyses to others. 2. correct use also requires knowing when to choose one type over another. 3. understanding the theory also helps guide when not to use any of the models. 4. finally, developing new methods requires a detailed knowledge of known work.