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Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)

Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)
This second edition of 'Extending the Linear Model with R' delves deeper into statistical modeling with a focus on generalized linear, mixed effects, and nonparametric regression models. Written by renowned statisticians Julian J. Faraway and Chantal Guihenneuc-Jouyaux, this book provides a comprehensive guide to advanced regression techniques using the R programming language. Perfect for statisticians, researchers, and data analysts looking to expand their knowledge and skills in statistical modeling, this text offers practical insights and real-world examples to enhance understanding and application. Dive into the world of sophisticated regression models with this essential resource.
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-65%Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)—
$231.23
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This second edition of 'Extending the Linear Model with R' delves deeper into statistical modeling with a focus on generalized linear, mixed effects, and nonparametric regression models. Written by renowned statisticians Julian J. Faraway and Chantal Guihenneuc-Jouyaux, this book provides a comprehensive guide to advanced regression techniques using the R programming language. Perfect for statisticians, researchers, and data analysts looking to expand their knowledge and skills in statistical modeling, this text offers practical insights and real-world examples to enhance understanding and application. Dive into the world of sophisticated regression models with this essential resource.











