STAT 525: Nonparametric Statistics and Categorical Data Analysis
Course Information from University Catalog
Introduction to nonparametric methods and categorical data analysis. Topics include tests for one-sample, two-related samples, and two independent samples; concepts of nonparametric ANOVA; tests for proportions; chi-squared tests, log-linear models, and contingency tables; goodness-of-fit tests; correlation and association analysis; nonparametric regression including logistic and Poisson regression; and bootstrapping, jackknifing , and cross-validation.
When Offered: Spring
Hours of Lecture or Seminar per week: 3
Cannot be used to satisfy requirements for MS in Statistical Science.
1 Course Sections Scheduled for Spring 2018
STAT 525 - 001: |
W; 7:20 pm - 10:00 pm