Math 553. Nonparametric Inference. Spring 2001.

Course: Math 553. Nonparametric Statistics. Spring 2001.

Prerequisite: MATH 448 or 502.

Schedule: Tu. Thurs.: 08:00-09:55 am. FA348 A.

Textbook: Nonparametric Statistical Methods by M. Hollander and D. A. Wolfe, Second Edition, 1999. Wiley.

Instructor: : Miguel A. Arcones.

Office: LN-2229.

Office hours: Tu: 11-12. Th: 10-11 (tentative), or by appointment. If you need to contact me or have any questions, please e-mail at: arcones@math.binghamton.edu.

Grading: The grades for the course will come from homeworks. Some of the problems in the homeworks will require the use of Splus.

Course description:: We will use the textbook to introduce the basics notions of nonparametric statistics. But, the material will be expanded. We will see several concepts such as asymptotic relative efficiency, asymptotics for U-statistics using other books or my notes. I will supply you a copy of my notes and handouts on Splus.

Course materials: You can find the syllabus, the Splus handouts and the homeworks in my web page: http://www.math.binghamton.edu/arcones/553/.

References:

• Hollander, M. and Wolfe, D. A. (1999). Nonparametric Statistical Methods. Second Edition. Wiley.
• Conover, W. J. (1999). Practical Nonparametric Statistics. Third Edition. Wiley.
• Lehmann, E. L. (1975). Nonparametrics: Statistical Methods Based on Ranks. Holden-Day, Inc.
• Randles, R. H. and Wolfe, D. A. (1979). Introduction to the Theory of Nonparametrics Statistics. Wiley.
• Serlfling, R. J. (1980). Approximation Theorems of Mathematical Statistics. Wiley.
• Hajek, J.; Sidak, Z. and Sen., P. K. (1999). Theory of Ranks Tests. Academic Press.
• Casella, G. and Berger, R. L. (1990). Statistical Inference. Duxbury.

Lecture days

	January	January	February	February	February	February	March	March	March	April	April	April	April	April	May
Tuesday	23	30	6	13	20	27	6	20	27	3	10	17	24	31	8
Thursday	25	1	8	15	22	29	8	22	29	5	12	19	26	3	10