General Description: This is an introduction of mathematical
statistics aimed at graduate students with a background of
calculus and some elementary knowledge of probability and statistics.
The first half of the class consists of a review of Probability Theory,
with some level of formality, but without using measure theory. The
second part of the class will cover topics of classic statistical
inference for point and interval estimation and hypothesis testing.
Textbook:
Statistical Inference, Second Edition. George Casella and Roger Berger,
Duxbury
Grading: There will be one midterm (35%, Tues., Nov. 01),
two quizes (15%, Tues., Oct. 11 and 15%, Tues., Nov. 15) and a final
exam (35%, Tues., Dec 06, 7:30-10:30). Exams and quizes will be
based on the homework.
Homework: There will be regularly spaced homework which will not
be graded. The solutions will be discussed in class. Homework will give
a very close indication of the material that will be covered in exams
and quizes.
Please remember that the second Quiz will be
on Chapter 6 and 7.