Contingency tables arise in diverse fields, including life sciences,
education, social and political sciences, notably market research and
opinion surveys. Their analysis plays an essential role in gaining
insight into structures of the quantities under consideration and in
supporting decision making. Combining both theory and applications, this
book presents models and methods for the analysis of two- and
multidimensional-contingency tables.
An excellent reference for advanced undergraduates, graduate students,
and practitioners in statistics as well as biosciences, social sciences,
education, and economics, the work may also be used as a textbook for a
course on categorical data analysis. Prerequisites include basic
background on statistical inference and knowledge of statistical
software packages.