Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition
To Be Published March 15th 2016 by Chapman and Hall/CRC
A Hands-On Way to Learning Data Analysis Part of the core of statistics, linear models are used to make predictions and explain the relationship between the response and the predictors. Understanding linear models is crucial to a broader competence in the practice of statistics. Linear Models with...
Published July 1st 2014 by Chapman and Hall/CRC
Generalized Linear, Mixed Effects and Nonparametric Regression Models
Linear models are central to the practice of statistics and form the foundation of a vast range of statistical methodologies. Julian J. Faraway's critically acclaimed Linear Models with R examined regression and analysis of variance, demonstrated the different methods available, and showed in which...
Published December 20th 2005 by Chapman and Hall/CRC