Department of Statistics

California State University, East Bay

Winter/Spring 2009


Stat 6501/6502: Graduate Mathematical Statistics I/II

Course Description Homework Important Dates Statistics Software
Syllabus Handouts Stat Lab Times Open Statistics Links
Blackboard    

Week 10:

  • Quiz 2 Monday.
  • Homework 3 collected on Monday.
  • Homework 4 will be discussed on Wednesday.
  • Final next week.

 

  • Handout simulating the distribution of the p-value from the one sample t-test.  pvalue.R
  • The solution to Homework 4 has been posted on Blackboard.

Week 9:

  • Monday is a holiday.
  • This week we will cover variance stabilizing transformations (VST).
  • Homework 3 should be completed by Wednesday.  Solutions posted in Blackboard.  Homework 3 will be collected Monday June 1.
  • Quiz 2 Monday June 1.

Week 8:

  • Homework 3 will be due Wednesday May 27.
  • Homework 4 has been posted.  Due date Wed. June 3.
  • This week we will continue with the development of hypothesis testing.

Week 7:

  • This week we will begin our discussion of Hypothesis Testing.
  • Homework 3 has been posted.  Due date postponed until we cover some of the material in class.
  • MS Exam this Friday, for those taking the exam.

Week 6:

  • Midterm this week.

Week 5:

  • The solutions to hw1 have been rewritten and reposted on Bb.
  • For Problem 8.6 BinomialLogLik.R
  • Quiz Wednesday April 29.
  • Homework 2 should be completed this week.  Due Monday May 4.
  • Midterm Wednesday May 6.
  • Homework 3 has been posted.  Due Monday May 11.
  • This week we will begin our discussion of Hypothesis Testing.

Week 4:

  • Homework 2 is due Monday April 27.
  • This week we will cover Bayesian Estimation.

Week 3:

  • Homework 1 due Wednesday April 15.
  • Homework 2 has been posted.  The Bayesian part of the assignment has been updated.
  • The dates of the quizzes, midterm and final have been posted, see the Important Dates link above.

Week 2:

  • We will be covering topics related to Homework 1 this week.  Homework 1 will be collected next week on Wednesday, assuming we have covered all of the material in this assignment.

Week 1:

  • This quarter we will continue with the presentation of Mathematical Statistics.
  • The Large Sample Theory will be covered, the Theory of Hypothesis Testing will be covered, and other topics.
  • Homework 1 has been posted.

Week 10:

  • Homework 6 Solution does not contain Ch.7.  (I was sick all weekend, sorry.)
  • Quiz Monday, Ch.5 and Ch.6  (Since I was sick, Ch.7 will not be on the quiz.)
  • There is a very interesting seminar at google this Th.  Seminar
  • The Final is next week during finals week.

Week 9:

  • Homework 7 has been posted.  Homework is due next week on Wednesday.
  • Homework 6 is due this week on Wednesday.

Week 8:

  • Homework 6 has been posted.

Week 7:

  • Homework 5 is due Monday February 23.
  • This week we will cover convergence in distribution.
  • Wednesday office hour 1-2pm will be cancelled due to a Department Faculty Meeting.  I will re-schedule this office hour for Wed. 4-5pm.

Week 6:

  • Midterm 1 will be given in class on Monday.
  • Homework 4 will be collected in class on Monday.
  • Homework 5 has been posted.
  • The take-home part of the midterm is available here.  Midterm - takehome.pdf    data.MPJ

Week 5:

  • Quiz 1 Monday.  Solution is posted on Blackboard.
  • Homework 4 will be collected on Monday.  Solutions is posted on Blackboard.
  • Midterm 1 will be next week on Monday.

Week 4:

  • Homework 3 will now be due Wed.  We still need to discuss Order Statistics, a topics covered in this assignment.
  • Homework 4 has been posted. Homework 4 is due Wednesday February 4
  • Solutions to Homework 1 and 2 have been posted in Blackboard.
  • The Quizzes, Midterm and Final dates have been posted.

Week 3:

  • Homework 3 has been posted.  Homework 3 is due Monday Jan. 26
  • This week we will talk about Conditional Probability models (Regression) and Transformations of Jointly Distributed Random Variables (generation of normal random variables).

Week 2:


Week 1:

  • The Syllabus has been posted.
  • Homework 1 has been posted.  I have made minor changes to the hw as of Jan. 7, please make sure you have the full list of problems.
  • Homework 1 is due Monday Jan. 12
  • Please read the following Handouts.  The Introduction to R handout, the Stats magazine article on the Birthday Problem, and the handouts on pseudo-random number generation.

Week 0:

  • The book that will be used for the course is Rice, Mathematical Statistics and Data Analysis, 3rd Edition.