Analysis of Categorical Data with R
By Christopher R. Bilder, Thomas M. Loughin
To Be Published February 15th 2014 by Chapman and Hall/CRC – 416 pages
To Be Published February 15th 2014 by Chapman and Hall/CRC – 416 pages
Written for students and researchers in statistics and biostatistics, this book presents a modern introduction to categorical data analysis, with R integrated into the text as a data analysis method and a learning tool. The book includes many detailed worked examples to illustrate methods, with R code and data available for all of them. It also includes many exercises throughout the text and is supplemented by a solutions manual and website with code, data, and video lectures. Unlike other books on the subject, topics such as missing data and Bayesian methods are covered.
Analyzing a binary response
Analyzing a count response
Analyzing a multinomial response
Model building
Additional topics
Name: Analysis of Categorical Data with R (Hardback) – Chapman and Hall/CRC
Description: By Christopher R. Bilder, Thomas M. Loughin. Written for students and researchers in statistics and biostatistics, this book presents a modern introduction to categorical data analysis, with R integrated into the text as a data analysis method and a learning tool. The book includes many detailed...
Categories: Statistical Theory & Methods, Statistics & Computing, Statistics for the Biological Sciences