ST 505: Applied Nonparametric Statistics

 MW 10:15am to 11:30am, 209 Cox Hall

The course provides an introduction to statistical estimation and inference methods that require relatively mild assumptions about the population distribution. Classical nonparametric hypothesis testing methods, Spearman and Kendall correlation coefficients, permutation tests, bootstrap methods, and nonparametric regressions will be covered.

Required text
: Introduction to Modern Nonparametric Statistics by J. J. Higgins, Duxbury (Thomson)

ST505


Instructor: Judy Huixia Wang, 4270 SAS Hall, hwang3@ncsu.edu
Office hour: Monday 3pm-5pm
or by appointment
Teaching Assistant: Woosung Jang,
wjang3@ncsu.edu
TA office hour: Tuesday 3pm-5pm @ SAS Hall 1101

Handouts
Homework
R code
Exams
Data Sets

Statistical Tables
Applet for F distribution
Tables for Jonckheere-Terpstra Test (based on Mann-Whitney test statistics)

Acknowledgement: part of the course materials are modified based on those of Christensen, W. F. for Stat 435.












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