Beyond Multiple Linear Regression: Applied Generalized Linear Models And Multilevel Models in R (Chapman & Hall/CRC Texts in Statistical Science)
Beyond Multiple Linear Regression presents an applied treatment of generalized linear models and multilevel models using R. Written for readers moving beyond traditional regression, this volume connects statistical theory with practical modeling and belongs to the Chapman & Hall/CRC Texts in Statistical Science series.
About This Book
Beyond Multiple Linear Regression introduces statistical modeling approaches that extend beyond standard multiple linear regression.
The book focuses on generalized linear models and multilevel models, with attention to their application in R.
Written by Paul Roback and Julie Legler, it is part of the Chapman & Hall/CRC Texts in Statistical Science series.
Its subject matter is relevant to readers studying applied statistics, statistical computing, and data analysis.
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