Stat 514 - Nonparametric Statistics, Fall 2010

Instructor: Chris Williams, Room 414 Brink Hall Phone: 885-2802 or 885-2929

Meeting times: MWF 1:30-2:20 TLC 244

Prerequisites: Stat 401 or equivalent coursework.

Office Hours: MWF 2:30-3:20 or by appointment.


Texts: Introduction to Modern Nonparametric Statistics by James J. Higgins

The webpage will contain announcements, summaries of lectures, lists of assignments with due dates, and other information.

Objectives: To understand the conceptual foundations of nonparametric inference and apply nonparametric methods to a variety of problems including one-sample, two-sample, and K-sample designs; blocking designs; tests of association; linear models, multifactor experiments; and density estimation. 

Lecture Outline: We will cover most chapters in the text plus additional topics, to be detailed in the lecture schedule.

We will use the SAS computer package throughout the course, and R code will often be available.

Grading: Homework: 22%; Test 1 22%; Test 2 22%; Project 12%; Final 22% (Monday, December 13 at 12:30 pm). Several homework sets will be assigned, but they will not all be handed in for a grade.

Disability Support Services Reasonable Accommodations Statement:  Reasonable accommodations are available for students who have documented temporary or permanent disabilities. All accommodations must be approved through Disability Support Services located in the Idaho Commons Building, Room 306 in order to notify your instructor(s) as soon as possible regarding accommodation(s) needed for the course. Phone: 885-6307, email at, website at .