George Mason University
Volgenau School of Information Technology and Engineering
Department of Statistics


STAT 652 / CSI 672: Statistical Inference

Spring Semester, 2010
Tuesdays from 4:30 to 7:10 PM (starting Jan. 19, other dates given below)

Location: room B124 of Robinson Hall (note: Robinson has an A wing and a B wing)


Instructor: Clifton D. Sutton

Contact Information (phone, fax, e-mail, etc.) Office Hours: 3:30-4:00 & 7:30-8:30 PM on class nights (more information)


Text:

Statistical Inference, 2nd Ed. , by G. Casella & R. L. Berger (Duxbury, 2002)


Prerequisite:

a graduate level course in probability (STAT 544 or ECE 528)


Description:

The main goal of this course is to introduce you to some of the basic ideas of statistical inference. A knowledge of probability theory will be assumed, the foundations of parametric statistical inference will be presented, and specific methods for estimation and hypothesis testing will be covered. The material presented in this course will serve to justify and enhance some of the concepts and methods covered in other statistics courses.

More specifically, here are some course goals: The general plan of attack to be used in an attempt to achieve these goals is as follows:

Approximate week-by-week content:

[1] Jan. 19:
exponential families; location and scale families
[Sections 3.4 and 3.5 of text]
(HW #1 posted)
[2] Jan. 26:
random samples; sums of random variables; sampling from normal distributions, sample minimums and maximums
[parts of Sections 5.1, 5.2, 5.3, and 5.4 of text]
[3] Feb. 2:
convergence concepts
[Section 5.5 of text]
[**] Feb. 9:
(Cancelled class due to snow storm)
[4] Feb. 16:
the sufficiency principle
[Section 6.2 of text]
(tentative: HW #1 due; HW #2 posted)
[5] Feb. 23:
the likelihood principle; the equivariance principle
[parts of Sections 6.3 and 6.4 of text]
[6] Mar. 2:
point estimation methods
[Section 7.2 of text (subsection 7.2.4 won't be covered)]
(tentative: HW #2 due; HW #3 posted)
[**] March 9:
No class due to Spring Break, but I may decide to hold a special office hours session in the classroom from 5:00 to 7:00 PM to answer questions and to work homework problems from previous semesters if people ask to see more examples.
[7] March 16:
more on point estimation methods; evaluation of point estimators
[Sections 7.2 and 7.3 of text (subsection 7.2.4 won't be covered)]
[8] March 23:
more on the evaluation of point estimators
[Section 7.3 of text]
(tentative: HW #3 due; HW #4 posted)
[9] March 30:
hypothesis testing methods
[Section 8.2 of text (subsection 8.2.2 won't be covered) and part of Section 8.3 of text]
[10] April 6:
more on hypothesis testing
[Section 8.3 of text]
(tentative: HW #4 due; HW #5 posted)
[11] April 13:
confidence interval methods
[Section 9.2 of text]
[12] April 20:
more on confidence intervals
[Sections 9.2 and 9.3 of text]
(tentative: HW #5 due; part of HW #6 posted)
[13] April 27:
asymptotic methods
[Section 10.1 of text (subsection 10.1.4 won't be covered); part of Section 10.3 of text]
(tentative: remainder of HW #6 posted)
[14] May 4:
more on asymptotic methods
[Sections 10.3 and 10.4 of text]
(tentative: HW #6 due (no grace period))
[**] Saturday, May 8:
Final Exam (note: exam period is from 4:30 to 6:30 PM)

Grading:


Additonal Comments: