Stat 6601: Advanced Statistical Computing

Week 10:

• The Introduction to Bayesian Estimation Chapter has been posted on the Handouts page.
• There will be a take-home quiz given today.
• Be sure to turn in all outstanding homework today.

Week 9:

• This week we will cover an introduction to Bayesian Statistics and Gibbs Sampling, the main computation method used to implement Bayesian inference.  See the Handouts link for the reading and material on this topic.
• How to get started with BUGS

Week 8:

• This week we will be covering exact tests - permutation tests and randomization tests.  We will also cover some nonparametric and parametric methods for analyzing categorical data.
• You should be completing you review of your paper this week.  I would like to collect them this week on Wednesday.
• Project:  Find a dataset of interest to you and perform the appropriate classical and resampling methods of analysis (bootstrap or randomization testing).
• The StatXact manual will be placed on the I-drive until it gets installed correctly.

• A good resource for learning about randomization testing you should read material on the Resampling Statistics website by David Howell from UVM.
• The main website is Resampling Statistics: Randomization and the Bootstrap.
  • Two different philosophies of Hypothesis Testing
  • Randomization Tests
    • Randomization Test on Two Independent Samples (class example)
    • Randomization Test on Means of Matched Pairs
    • Randomization Tests on Correlation Coefficients
  • Bootstrapping Approaches to Inference
    • Bootstrapping Means
    • Bootstrapping Correlations

Week 7:

• We will continue to discuss BCa bootstrap confidence intervals and begin discussing randomization testing.
• The inclass part of the midterm will be returned on Wednesday. midterm1sol.pdf

Week 6:

• Midterm Monday.  You may use as many pages of notes that you prepare for the test.  You may not use your book or class notes.
• This week we will be covering bca CI's.
• The take-home project part of the midterm is due next Monday.

Week 5:

• Quiz Monday.  You may use one page of notes, front and back.
• There is a program posted for the trimmed mean program for the time on target data.  See Handouts.
• There are three other examples of using the bootstrap.  ceo, poll, and relative risk.  See Handouts.

Week 4:

• This week we will continue the discussion about the nonparametric bootstrap CIs, SE, and better boostrap CIs such as BCA bootstrap confidence intervals.
• Some good introductory S-Plus references
  • Ripley, Introductory Guide to S-Plus, Final Version.
  • Venerables and Smith, Notes on Splus, A Programming Environment for Data Analysis and Graphics.
  • Venerables and Smith, Notes on R, A Programming Environment for Data Analysis and Graphics.

Week 3:

• Online demonstrations of confidence intervals: Statistical Inferences: Confidence Intervals
  • Confidence Intervals West & Ogden
  • Confidence Intervals Stark
  • Confidence Interval on a Mean Lane
  • Confidence Interval on a Proportion Lane
  • Interval Estimation Siegrist
  • Confidence Interval for Means Stanton

Week 2:

• Homework 2 has been posted.

Week 1:

• Online demonstrations of sampling distributions: Sampling Distributions and Central Limit Theorem
  • CLT West & Ogden
  • Sampling Distributions Stark
  • Sampling Distribution Lane
  • Random Samples Siegrist
• David C. Howell's website for Randomization and Bootstrapping, University of Vermont, is a very good place on the internet to get an introduction to Resampling.
  • You should download and test out his ResamplingPackage software and
  • Read his two essays on Randomization Procedures and Bootstrapping Procedures
• Please see the Handouts link above for the Introduction to S-Plus handout.
• Homework 1 has been posted.

Week 0:

A website with suggestions about how to make better PowerPoint presentations.

• PowerPointer

The American Statistician search.

• The American Statistician Comprehensive Index

Buy the text book online.

• B&N
• Amazon
• textbook source
• efollett
• student market
• SFSUBookstore
• CSUHBookstore No textbooks online yet!
• University Textbooks
• BookSpot

Resampling Articles

• articles from the Resampling website

Clifford E. Lunneborg's website

• Cliff and Pat's website