# 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.

## 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.

- Schedule and topics
- Teams and assignments
- Indices to solutions

- Statistics

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 Mary Wenjie Qiao: Expectation-Maximization Algorithm

Project of Josephine Ke Fei Tang

Project of Weiming Hong: Bermudian Option priceing by montecarlo simulation