ST 505 Spring 2012 Applied Nonparametric ... - NCSU Statistics
ST 505 Spring 2012 Applied Nonparametric ... - NCSU Statistics
ST 505 Spring 2012 Applied Nonparametric ... - NCSU Statistics
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Instructor: Dr. Judy Huixia Wang<br />
<strong>ST</strong> <strong>505</strong> <strong>Spring</strong> <strong>2012</strong><br />
<strong>Applied</strong> <strong>Nonparametric</strong> <strong>Statistics</strong><br />
Email: hwang3@ncsu.edu<br />
Office: 2311 Stinson Drive, 4270 SAS Hall<br />
Phone: (919) 513-1661<br />
Office hours: Monday 3pm-5pm or by appointment<br />
Lectures: MW 10:15AM - 11:30AM, 209 Cox Hall<br />
Teaching assistant: Woosung Jang Email: wjang3@ncsu.edu<br />
TA office hour: TBA<br />
Course webpage: http://www4.stat.ncsu.edu/~wang/courses/<strong>ST</strong><strong>505</strong>/index.html (The students are<br />
recommended to check this webpage regularly for handouts, homework assignments, solutions and<br />
announcements.)<br />
Required textbook:<br />
� Introduction to Modern <strong>Nonparametric</strong> <strong>Statistics</strong> by J. J. Higgins, Duxbury (Thomson).<br />
Text and a calculator should be brought to class daily.<br />
Supplemental Texts:<br />
� <strong>Nonparametric</strong> Statistical Methods, 2nd Edition, by M. Hollander and D. A. Wolfe, Wiley.<br />
� <strong>Applied</strong> <strong>Nonparametric</strong> Statistical Methods, P. Sprent and N. C. Smeeton.<br />
� R for Beginners, Paradis.<br />
Prerequisite: <strong>ST</strong> 372 (Inference and Regression) or <strong>ST</strong>421-422, <strong>ST</strong> 511 (Basic Statistical Inference<br />
and Experimentation) or equivalent.<br />
Course Objective<br />
The course provides an introduction to statistical estimation and inference methods that require<br />
relatively mild assumptions about the population distribution. Classical nonparametric hypothesis<br />
testing methods, Spearman and Kendall correlation coefficients, permutation tests, bootstrap methods,<br />
and nonparametric regressions will be covered.<br />
Homework Assignments<br />
Approximately 10 homework assignments will be given during the semester. Homework is due in class<br />
on the due date. Late homework (submitted before the solution/answer is posted) will receive 50%<br />
of the original score. Homework submitted after the solution is posted will not be graded and receive<br />
zero point. The lowest homework score will be dropped. You are permitted to work together on the<br />
homework sets, but each student is responsible for their own final write-up of each assignment. When<br />
asked to solve problems using a computer, please provide minimally computer output, circle all relevant<br />
results, and give appropriate discussion.
Examinations<br />
There will be two midterm exams and one final exam. All exams will be closed book and closed notes.<br />
However, one two-sided 8½ by 11 inch “cheat sheet” is allowed. You can bring a calculator to the<br />
exams, but sharing calculators is not allowed. The final exam will be cumulative. There are NO makeup<br />
exams, so please mark the exam dates on your calendar and plan ahead.<br />
Grading policy<br />
The course grade will be based on HWs and Exams:<br />
Relative weight Time<br />
Homework 30% About weekly<br />
Midterm #1 20% In class, 02/13/<strong>2012</strong><br />
Midterm #2 20% In class, 03/21/<strong>2012</strong><br />
Final Exam 30% In class, 05/07/<strong>2012</strong>, 8-11am<br />
Total 100%<br />
The final grade will be expressed as a percent between 0 and 100. Letter grade will be assigned<br />
following:<br />
A+ A A- B+ B B- C+ C C- D+ D D- F<br />
98-100 93-97 91-92 88-90 83-87 81-82 78-80 73-77 71-72 68-70 63-67 60-62