Linear models are widely used in applications in physical science, engineering, social science and business. The world of R has expanded in the ten years that have passed since this text’s first edition. The second edition reorganizes the material on interpreting linear models to distinguish the...
To Be Published July 8th 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 19th 2005 by Chapman and Hall/CRC
Books on regression and the analysis of variance abound—many are introductory, many are theoretical. While most of them do serve a purpose, the fact remains that data analysis cannot be properly learned without actually doing it, and this means using a statistical software package. There are many...
Published August 11th 2004 by Chapman and Hall/CRC