Categorical data analysis
Agresti, Alan.
creator
text
Hoboken, NJ
Wiley
c2013
3rd ed.
monographic
xvi, 714 p. : ill. ;
"A classic in its own right, this book continues to provide an introduction to modern generalized linear models for categorical variables. The text emphasizes methods that are most commonly used in practical application, such as classical inferences for two- and three-way contingency tables, logistic regression, loglinear models, models for multinomial (nominal and ordinal) responses, and methods for repeated measurement and other forms of clustered, correlated response data. Chapter headings remain essentially with the exception of a new one on Bayesian inference for parametric models. Other major changes include an expansion of clustered data, new research on analysis of data sets with robust variables, extensive discussions of ordinal data, more on interpretation, and additional exercises throughout the book. R and SAS are now showcased as the software of choice. An author web site with solutions, commentaries, software programs, and data sets is available"--
Multivariate analysis
Probability & Statistics
Statistics
519.535 AGR/C
Wiley series in probability and statistics
9780470463635