Summaries of 3 books by Alan Agresti, available in English, French and German. Read AI-generated key ideas and takeaways, or generate your own.
3 SummariesAmerican
Alan Agresti is an American statistician and author, recognized for his work in categorical data analysis and statistical methods. Born in 1947, he earned his Ph.D. in Statistics from the University of Wisconsin-Madison. He spent a significant portion of his career as a professor of statistics at the University of Florida, where he is now a Distinguished Professor Emeritus. His research and publications primarily focus on developing and explaining statistical techniques for analyzing qualitative data, making these methods accessible to students and researchers across various disciplines. He has authored several widely used textbooks that cover topics such as generalized linear models, loglinear models, and the analysis of contingency tables.
Notable works: Statistical Methods for the Social Sciences, Categorical Data Analysis, An Introduction to Categorical Data Analysis, Analysis of Ordinal Categorical Data, Foundations of Linear and Generalized Linear Models