Spring 2004 STAT 724 Nonparametric Statistics

Instructor: Prof. John Spurrier, 221 LeConte

Telephone: Office 777-5072, Home 781-2340

e-mail:spurrier@stat.sc.edu

Office Hours: 9:40 - 11:00 MWF, 3:45 - 4:45 TTh, or by appointment.

I am also usually available whenever I am in my office. If you cannot find me, send e-mail, leave a message, or put a note in my mailbox in LeConte 216.

Basic Reference Text: Introduction to the Theory of Nonparametric Statistics, Randles and Wolfe

This book is out-of-print. It will be placed on reserve in the Mathematics Library at the beginning of the semester. Used copies of the book may be available from Amazon.com or other on-line sources.

Other References

• Cramér, H., Mathematical Methods of Statistics
• Fraser, D., Nonparametric Methods in Statistics
• Gibbons, J., Nonparametric Statistical Inference
• Hájek, J. and Sidák, Z., Theory of Rank Tests
• Hogg, R. V. and Craig, A. T., Introduction to Mathematical Statistics
• Hollander, M. and Wolfe, D., Nonparametric Statistical Methods
• Lehmann, E., Nonparametrics: Statistical Methods Based on Ranks
• Lehmann, E., Testing Statistical Hypotheses
• Lindgren, B., Statistical Theory
• Rao, C. R., Linear Statistical Inference and Its Applications
• Roussas, G., A First Course in Mathematical Statistics
• Wilks, S., Mathematical Statistics
• Zacks, S., The Theory of Statistical Inference

Grading

Homework (30%) Homework is a vital part of the course. Unless you are instructed otherwise, problems are due at the beginning of class on the following Friday. You are expected to receive no assistance on the homework. Late papers will be accepted only in extreme circumstances.

Exams (40%) In-class exams on Wednesday, February 18 and Monday, April 5

Comprehensive Final Exam (30%) 9:00-Noon, Thursday, May 6

Exam Grading Scale

A 91-100; B+ 89-90; B 81-88; C+ 79-80; C 71-78; D+ 69-70; D 60-68; F 0-59;

Homework grading will be slightly more lenient.

Lecture Notes

I will pass out notes at the beginning of each lecture. These will allow you to use class time to think rather than write.

Cell Phones: Turn them off before class begins

Purpose of Course:

The course develops the theory of nonparametric inference. It is intended for graduate students who have a thorough understanding of parametric inference.

My Expectations for You

• Arrive on time for each class.
• Review your notes after each class.
• Ask questions if you do not understand something or wish to know more.
• Make it your goal to understand everything we do.
• Turn in all homework on time.

Spring 2004 Class Schedule

Topic numbers refer to sections in Randles and Wolfe

Monday	Wednesday	Friday
1-12 (1) 1.2, multinomial	1-14 (2) multinomial	1-16 (3) 1.3
1-19 No class	1-21 (4) 1.3	1-23 (5) 2.1, 2.2
1-26 (6) University closed	1-28 (7) 2.3	1-30 (8) 2.3
2-2 (9) 2.3	2-4 (10) 2.4	2-6 (11) 3.1
2-9 (12) 3.2, 3.3	2-11 (13) 3.3	2-13 (14) 3.3
2-16 (15) 3.4	2-18 (16) Exam	2-20 (17) 3.4, 3.5
2-23 (18) 3.6	2-25 (19) 4.1, 4.2	2-27 (20) 4.3
3-1 (21) 5.1, 5.2	3-3 (22) 5.2	3-5 (23) 5.3
3-8 No class	3-10 No class	3-12 No class
3-15 (24) 5.4	3-17 5.4	3- 19 (26) 6.1
3-22 (27) 6.2 (27)	3-24 (28) 7.1, 8.1	3-26 (29) 8.1
3-29 (30) 8.2	3-31 (31) 8.3	4-2 (32) 8.3
4-5 (33) Exam	4-7 (34) 8.4	4-9 (35) 9.1
4-12 (36) 9.1	4-14 (37) 9.2, 9.3	4-16 (38) 11.5, 10.1
4-19 (39) 10.1	4-21 (40) 10.2	4-23 (41) 11.1
4-26 (42) misc. topics	4-28 (43) Review

Final Exam 2:00 - 5:00 PM, Thursday, May 6

Link to Department of Statistics Homepage

Disclaimer

URL