STAT 572 SYLLABUS: FALL 2006

 

·         Instructor information

-          Nader Ebrahimi

-          Office: Du Sable 359 C

-          Phone: 815 753 6864

 

·         Textbook: Casella, G and Berger, R.L. (2002). Statistical Inference. Second Edition. Duxbury.

·         Topical Course Outline

 

Chapter

Sections

Topics

3

4

Exponential Families

3

5

Location and Scale Families

2

1

Distributions of Functions of a Single Random Variable

4

3

Bivariate Transformations

4

4

Hierarchical Models and Mixture Distributions

5

1-5

Properties of Random Samples and Convergence Concepts

6

1-5

Principles of Data Reduction

7

1-3

Point Estimation

8

1-3

Hypothesis Testing

9

1-3

Interval Estimation

10

1,3,4

Asymptotic Evaluations

 

·         General Course Regulations

 

                      - This syllabus may be changed at any time by the instructor. Changes will be announced in class.

 

                      - Homework will be assigned almost every week and will be due the following week. Homework                   solutions should be neat and presented logically on loose-leaf paper. Papers for each assignment                        should be stapled together. Spiral paper is unacceptable.

 

-    Since this is a graduate course, late work is not acceptable.

 

-    There will be two in-class exams and a comprehensive final exam. The tentative date for the     first                         exam is Oct. 9, 2006. The tentative date of the second exam is Nov. 27, 2006.

 

-    Exams are closed book and note. You may use an 8.5” x 11” formula sheet.

 

-    Each examination will count toward 25% of your final grade. The comprehensive final exam will count toward 40% of your final grade. The homework will count toward 10% of your final grade.

 

-    You are generally quite welcome to visit me at my office if you have questions. The only time this invitation is not extended is the day of exams. Do not come to my office to ask questions the day of an exam.

 

-    All university regulations regarding academic misconduct will be followed in this class. Evidence of academic misconduct will be forwarded to the Northern Illinois University judicial system and may result in a failing grade for the course or expulsion from the university.

 

-    If you have a disability, please make arrangements with the Center for Access-Ability Resources (CAAR) and let me know. Please see http://www.math.niu.edu/courses/CAAR.html for further information.