Alan Agresti | |
|---|---|
| Born | February 6, 1947 |
| Alma mater | University of Rochester University of Wisconsin–Madison |
| Known for | Categorical data analysis Agresti–Coull interval |
| Scientific career | |
| Fields | Statistics |
| Thesis | Bounds on the Extinction-Time Distribution of a Branching Process |
| Doctoral advisor | Stephen Stigler |
| Doctoral students | Ivy Liu Brent Coull |
Alan Gilbert Agresti (born February 6, 1947) is an American statistician and Distinguished Professor Emeritus at the University of Florida.[1] He has written several textbooks on categorical data analysis that are considered seminal in the field.
The Agresti–Coull confidence interval for a binomial proportion is named after him and his doctoral student Brent Coull.[2]
- ^ ""Statistics is an evolving field, rather than a fixed toolbox": An interview with Alan Agresti on the book he is proudest of as Wiley publishes its third edition". Statistics Views. Retrieved 16 May 2020.
- ^ Agresti, Alan; Coull, Brent A. (1998). "Approximate Is Better than "Exact" for Interval Estimation of Binomial Proportions". The American Statistician. 52 (2): 119–126. doi:10.2307/2685469. ISSN 0003-1305. JSTOR 2685469.
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