MATH 6630 Fall 2005

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MATH 6630 Fall 2005


Welcome to the wiki site for MATH 6630 in 2005-2006

To suggest changes or report problems with this page, please add a comment to the discussion by clicking on the tab 'discussion' above.

"There are lies, damned lies, and statistics" -- Benjamin Disraeli

"Statistical thinking will one day be as necessary for efficient citizenship as the ability to read and write." -- H. G. Wells

"It is easy to lie with statistics. It is hard to tell the truth without it." --Andrejs Dunkels

Table of contents

News

December
The take-home final exam will be available at 5pm on December 13 and will be due on December 16 at 5pm.

MATH 6630: Old News

Major links

  • MATH 6630 Course Web Page (http://www.math.yorku.ca/~georges/Courses/6630/index.html) The course web page is password protected. It contains a classlist and team assignments for the course.


If you have questions or problems don't hesitate to ask Georges Monette (mailto:georges@yorku.ca) but if you have problems and/or solutions don't hesitate to share them with others by using this wiki page: Using the Wiki: Q and A.

Getting started

If this is your first time visiting, you should log in to your account. (Get your username from the MATH 6630 course web page (http://www.math.yorku.ca/~georges/Courses/6630/index.html#Classlist)) Just click on "Log in" in the upper right corner of this page and type in your username. You should change your password. Be sure to log in whenever you work on the site.

If you have comments or views on the use of the wiki, please contribute them to Comments on using a wiki for MATH 6630 or contribute to the discussion on this page by clicking on "discussion" above.

Project

Purpose of the project is to get experience in exploring, understanding, implementing, applying and explaining a new technique.

  • Pick a method or area in applied statistics
  • Study how to implement an analysis in R
  • Research and summarize pertinent theory
  • Find references to recent publications and compile a short bibliography with brief annotations and URLs
  • Perform and report a sample analysis
  • Prepare a tutorial on use of the method including an explanation of the theory and a sample analysis


Project of Pengfei Guo: Simulation on Nonlinearity Tests for Time Series (Based on RUEY S. TSAY (1985))

Project of Mary Wenjie Qiao: Expectation-Maximization Algorithm

Project of Janet Jinling Gao

Project of Daniel(Qiang) Pu

Konstantin Zukker

Project of Ha Nguyen

Rabih Saab

Project of Josephine Ke Fei Tang

Project of Hao Bai

Project of Wei Zhao

Kirandeep Kaur

Project of Weiming Hong: Bermudian Option priceing by montecarlo simulation

Project of Jing Sun: Stein's Paradox method

Ming Chen's Project on Monte Carlo Methods Applications