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)
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:
- provide a foundation for the advanced study of statistics (which should allow for a deeper undersanding of applied methods);
- provide background which should make the literature of statistics more accessible;
- and (most importantly) cover important general methods which can be applied to problems not typically addessed in books, and
be used to obtain theoretically-based solutions.
The general plan of attack to be used in an attempt to achieve these goals is as follows:
- cover some somewhat advanced probability material (typically not given enough attention in 500-level probability courses);
- cover general statistical principles and "building block" statistical concepts;
- cover many common general methods for obtaining decent point estimates, confidence intervals, and tests of hypotheses,
and learn how to apply them to obtain estimates and perform tests in a wide variety of parametric model situations.
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:
- Put STAT 652 in the subject line when you send me e-mail
(due to spam, I sometimes delete messages without reading them, based
on the subject line).
- All GMU students are expected to activate their GMU e-mail accounts and check them regularly for messages
from the university administration and their instructors (although I tend to use the
announcements web page
of my course websites as my primary way of communicating with students).
- Be sure to note that there is not a class meeting scheduled for March 9 (due to Spring
Break). However, if any class meetings are canceled prior to Spring Break (perhaps due to bad weather),
it could be that the Tuesday of Spring Break will be used to make up for the missed class
(but, if only one class
is cancelled prior to Spring Break, we may just wait to make it up on May 4, which is currently scheduled to be a week
with no class meeting between the last lecture and the final exam).
- I can possibly
make arrangements to meet with you outside of my
scheduled hours; however,
on Tuesdays I do not like to be
bothered from 4:00 to 4:28
and on Wednesdays I'll be tied up with my other class.
When my spring semester routine gets a little more settled, I
may
post additional information about my availability
here.
- Please do not leave long messages on my voice-mail,
and since I often don't get around to returning calls until the evening,
you should state what time you plan to go to sleep. Always leave your
phone number, speaking slowly, even though you might have
given it to me previously. I find it better to communicate with people
in person or via e-mail --- phone tag is frustrating and sometimes the
GMU voice-mail system doesn't work the way it is supposed to.
- You will typically have at least two weeks to complete each
homework assignment, except that I may not give you part of the final
assignment until one week prior to its due date.
If for some reason you don't have your paper ready to turn in the
at the Tuesday class meeting when it is due, typically you can turn it in to me
up until 10:00 PM the following Thursday.
(I will post the due dates and the grace period information on the
homework web page.)
But I encourage you not to get into the habit of treating Thursday as the
due date since in that case you may feel that the work is crammed
together too much near the end of the semester. To encourage you to not
delay doing the homework, I may refuse to answer questions about an
assignment after 10:30 PM on the Tuesday it is due.
After the end of the grace period (typically 10:00 PM on the Thursday following the nominal due date),
late papers
will be
considered only if I haven't already graded the papers of other class
members. (I really mean this! And 4 feet of snow or a broken fax machine does not change things --- if I don't have your paper by
the end of the grace period, I won't grade it if I've already graded the other papers. If you plan to fax your paper, you should perhaps plan
to do it by Wednesday, and not wait until Thursday.)
If you bring your paper by my office and I'm not there, the
best procedure is to put it under my office door and then send me an
e-mail or call and tell me that you dropped off your paper.
You can
possibly fax
your papers to me at (703) 993-1700. (If you do fax your paper,
please notify me by e-mail or phone so that I can look for your paper.
(The entire department shares the same fax machine.)) I cannot be
responsible for late papers put under my door or faxed if for some
reason I don't get them, but in the past I've never had too many problems
getting papers in these ways (although the new fax machine seems to not work as well as the old fax machine did).
Do not e-mail solutions to me.
- All homework should be on paper which is approximately
8.5 inches by 11 inches. All pages should be stapled in the upper left
hand corner. All answers should be clearly indicated. (You need to
choose one answer for each part. Draw a box around your final
answers or highlight them in some way.) You should show adequate
supporting work and not merely give answers.
- You are expected to familiarize yourself with the
George Mason University honor code and abide by it. It is
perfectly okay to generally discuss
homework problems with others (except for extra credit problems, which may be occassionally assigned),
but you should not turn in any work that is
copied from someone else (and so you should be prepared to explain
your solution to me if asked to do so).
It
will be considered to be a violation of the honor code if you deviate
from this rule concerning homework or if you give or
receive aid on the final exam.
- You are expected to take the final exam during the
designated time slot; Incompletes will
not be granted except under very unusual circumstances.
(I may not have the exam ready prior to the scheduled exam date, so don't assume that you
can take it early.)
- Please abide by the university policy that cell phone ringers be
turned off while class is in session.
- Please do not make a lot of noise eating during class --- if you
feel that you must eat during class, please choose a soft candy bar
rather than a bag of potato chips (since both the chips and the bag they
come in tend to make too much noise when eaten and handled).
- If you are a student with a disability and desire academic accommodations, please see me during the first two week of classes and
contact the
Office of Disability Services (ODS). All academic accommodations must be arranged through the ODS.
- Any class meetings canceled by the university due to
snow, sleet, power outage, bombing,
etc. will be made up if possible.
With regard to bad weather, I will
plan to teach class if the university is open and not teach it if the
university is closed. So instead of calling me to find out if I plan
to have class, just find out if the university is open or closed.
- Caveat: The schedule and procedures described here for this course are subject to change (and it is the responsibility of
students to attend all class meetings and keep themselves informed of
any changes).