SELECTED TOPICS IN STATISTICS
Prof. Khalaf S. Sultan
Department of Statistics and Operations Research
College of Science
P.O.Box 2455, Riyadh 11451
King Saud University
Phone: 4676263 (Office)
E-mail: firstname.lastname@example.org, email@example.com
Time : Tuesday 8:00 – 11:00 am
During the course, we use some parts from the following books:
Balakrishnan, N. and Cohen, A.C. (1991). Order Statistics and Inference: Estimation Methods, Academic Press, New York.
Arnold, A., Balakrishnan, N. And Nagaraja, H.N. (1992). A First Course in Order Statistics, John Wiley & Sons, New York.
Rubinstein, R. Y. (1981). Simulation and the Monte Carlo Methods, John Wiley & Sons, New York.
D’Agostino, R.B. and Stephens, M.A. (1986). Goodness-of-Fit Techniques, Marcel Dekker, New York.
James J. Higgins (2004). Introduction to Modern Nonparametric Statistics, Duxbury (Thomson).
Efron B. and Tibshiriani, R. J. (1980). An Introduction to the Bootstrap, Chapman and Hall, New York.
Johnson, N.L., Kotz, S. and Balakrishnan, N. (1995). Continuous Univariate Distributions, Vol. 2, Second edition, John Wiley, New York.
Johnson, N.L., Kotz, S. and Balakrishnan, N. (1994). Continuous Univariate Distributions, Vol. 1, Second edition, John Wiley, New York.
Course Description and Objectives
In this course, we address several approaches such as
- Order statistics and the associated inference
- Some Monte Carlo techniques
- Some parametric and nonparametric goodness-of-fit problems
- Bootstrap methods.
In order to achieve the calculations you may use some software packages including: Maple, R and SAS. FORTRAN language with IMSL may be used to achieve some Monte Carlo simulations.
1- Assignments: (15 Marks)
2- Midterm Exam: To be arranged (20 Marks)
3- Presentation: To be arranged (5 Marks)
4- Final Exam: To be arranged (60 Marks)
1- Lecture notes