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🗓️ Spring 2026-2027 sections are out. See who is teaching what, and build a timetable that fits. Build my timetable Course offerings

STAT 237Statistics Infer. Nonparametric Methods

📁 AUB has not offered this course in recent terms, so it no longer appears in the directory. The reviews and files below are kept for reference.

Mathematics · Faculty of Arts and Sciences · 3 credits
Abbas Alhakim
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Who should I take it with? · Spring 2026-2027
Abbas Alhakim ★★★★☆ 4.1 · 8 reviews
Lecture 1 MWF 14:00–14:50 22 seats left
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Description
Methods of analyzing data when a parametric assumption is adopted. The course begins with classical methods of estimation and testing based on order statistics (such as quantile estimation). The course continues with testing based on ranks (including the sign test, Wilcoxon signed-rank test, Mann-Whitney two sample test, Kruskall-Wallis test) and testing based on the empirical distribution function (including the Kolmogorov-Smirnov test of goodness of fit). The notion of asymptotic relative efficiency is carefully studied and applied to some of the tests. The course also covers the modern concepts of density estimation in one and higher dimensions (histogram and kernel estimation), selection of optimal kernel and optimal bandwidth. Prerequisite: STAT 234 or consent of instructor. Biennially.
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Common questions about STAT 237

What is STAT 237 at AUB?

STAT 237 Statistics Infer. Nonparametric Methods is a 3-credit course at American University of Beirut (AUB), in the Faculty of Arts and Sciences. Methods of analyzing data when a parametric assumption is adopted. The course begins with classical methods of estimation and testing based on order statistics (such as quantile estimation).

How many credits is STAT 237?

STAT 237 Statistics Infer. Nonparametric Methods is worth 3 credits at AUB.

Who teaches STAT 237 at AUB?

Studiety has 1 professor on record for STAT 237: Abbas Alhakim. Sections change every term, so check the registrar for who is teaching now.

See all Statistics courses at AUB, or browse every subject.