An Introduction to Categorical Data Analysis (Wiley Series in Probability and Statistics)
by Alan Agresti
An Introduction to Categorical Data Analysis by Alan Agresti introduces key statistical methods for analyzing categorical data, including contingency tables, logistic regression, and loglinear models. Part of the Wiley Series in Probability and Statistics, it offers practical guidance for students and researchers working with non-numeric variables in diverse applications.
About This Book
An Introduction to Categorical Data Analysis provides foundational knowledge on handling categorical variables, which are prevalent in fields like social sciences, biology, and engineering.
The text covers core techniques such as contingency tables, logistic regression, and loglinear models, presented within the Wiley Series in Probability and Statistics.
Authored by Alan Agresti, it emphasizes practical approaches to model fitting and interpretation for real-world data analysis.
Ideal for students and professionals seeking to build skills in statistical methods for categorical data.
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