STAT 621: Statistical Inference (I)
Instructor: Prof. Khalaf S. Sultan
Office: 2B20 Building #4, Phone (office): 4676263
Time: Sundays: 8  11 am
Office Hour: Wed: 1011
Email: ksultan@ksu.edu.sa
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Assignment1
Assignment 2
Assignment 3
Assignment 4
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Recommended Books:
1. Lehmann, E. L. and Casella, G. (1998), Theory of Point Estimation, second edition, Springer.
2. Casella, G. and Berger, R. L. (2002). Statistical Inference, second edition, Duxbury, New York.
3. Kendall, M. G. and Stuart, A. (1979). The Advanced Theory of Statistics, fourth edition, Volume 2, Charles Griffin, London.
4. Silvey, S.D. (1975). Statistical Inference, Chapman and Hall, London.
Reference Books:
1. Johnson, N.L., Kotz, S. and Balakrishnan, N. (1994). Continuous Univariate Distributions, Vol. 1, Second edition, John Wiley, New York.
2. Johnson, N.L., Kotz, S. and Balakrishnan, N. (1995). Continuous Univariate Distributions, Vol. 2, Second edition, John Wiley, New York.
3. Kendall M. Stuart A. and Ord J.K. Kendall's Advanced Theory of Statistics, Volume 1: Distribution Theory
4. Kendall M. Stuart A. and Ord J.K. Kendall's Advanced Theory of Statistics, Volume 2A Classical Inference and and the Linear Model
5. Kendall M. Stuart A. and Ord J.K. Kendall's Advanced Theory of Statistics, Volume 2B: Bayesian Inference
Course Scope Contents:
Statistics 621 is part of a twocourse sequence in statistical inference for graduate students in Statistics (Statistics 621{622). Its intent is to supply key tools and key results of statistical statistics, and to convey the spirit of theoretical research work, as published in leading statistical journals. The following are the main points will be covered throughout the course: Sufficiency – Completeness – Likelihood  Mutiparameter estimation  Linear estimation  Maximum likelihood estimation  Bayesian estimation  Large sample properties and procedures  Empirical distribution function.
Attendance:
Student missing more than 25% of the total class hours won't be allowed to write the final exam.
Assignments and Tests:
Assignments and projects 
Will be given during classes 
20 marks 
Midterm test 


20 marks 
Final Exam 


60 marks 
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