STAT 672 Calendar

Monday

Wednesday

Additional Information

Aug 23
Introduction, Binomial Test
(2.1)

Aug 25
Binomial Tests, CIs, Estimators
(2.1-2.3)

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Aug 30
Binomial Tests, CIs, Estimators
(2.1-2.3)
Computer Lab GMCS-421
Please come to class in GMCS-308 first!
Lab1

Sep 1
Binomial Tests, CIs, Estimators
(2.1-2.3)
Computer Lab GMCS-421
Lab1

HW#1 due 9/8 See Canvas

Sep 6
Labor Day - no class
yipee!

Sep 8
The Sign Test
(3.4-3.6)

CI for Sign Test:
Class example: R code and R output
HW#2 due 9/15 See Canvas

Sep 13
Signed Rank Test
(3.1)

Sep 15
Signed Rank Test, Estimators, and CIs
(3.1-3.3)
Lab2a

Wilcoxon Sign Rank Test
Class example: R code and R output
HW#3 due 9/22 See Canvas

Sep 20
One-sample Location Problesm, Efficiency of Wilcoxon Sign Rank
(3.7, 3.8, 3.11)

Sep 22
Wilcoxon Rank Sum Test
(4.1)

Derivation of Variance of W for Wilcox Rank Sum Test
Class example: R code and R output
Here is Professor Charlie Geyer's
Computer Examples for the Wilcoxon Rank Sum Test!
HW#4 due 9/29 See Canvas

Sep 27
Wilcoxon Rank Sum Test Estimator, CI, and Efficiency
(4.2,4.3,4.5)

Sep 29
Ansari-Bradley Test and Lepage Test
(5.1, 5.3)

Ansari-Bradley Test
Class example: R plots
Class example: R code
Class example: R output
HW#5 due 10/6 See Canvas

Oct 4
Robust Rank Test for Behrens-Fisher Problem, and Efficiency
(4.4)
Lab2

Oct 6
Linear Rank Statistics

Midterm Exam, October 13
Part I: in-class, Part II: take-home
Midterm Exam Information

Oct 11
Linear Rank Statisitics
EDF and Kolomogorov-Smirnov Test
Review
(5.4)

Oct 13
Midterm Exam
Part I: in-class, Part II: take-home
Midterm Exam Information
(Midterm Part II available on Canvas)

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Oct 18
EDF and Kolomogorov-Smirnov Test
One-way Layout (Kruskal-Wallis Test)
(5.4, 6.1)

Oct 20
One-way Layout
(Kruskal-Wallis Test)
Spearman Test for Indendence Based on Ranks
(6.1, 8.5)

Check out Professor Charlie Geyer's
Computer Examples for:
One-way layout and
(The dataset is available off the web page.)
Here is my edf R code
HW#6 due 10/27 See Canvas

Oct. 25
Kendall's Test for Indenpendence
(8.1-8.4)

Oct. 27
The Nonparametric Bootstrap
(8.4 and Comments, p. 424-427, #32,33)
Lab3

Check out Professor Charlie Geyer's
Computer Examples for:
Correlation
(The dataset is available off the web page.)
Here is my tauboot.r function.
HW#7 due 11/3 See Canvas

Nov 1
The Nonparametric Bootstrap and Better Bootstrap
(8.4 and Comments, p. 424-427, #32,33)

Nov 3
The Nonparametric Bootstrap, Better Bootstrap
and Jackknife
(8.4 and Comments, p. 177 #20, 21, p. 424-427, #32,33)

Check out the Bootstrap reference papers by Efron and Tibshirani (on Canvas)
HW#8 due 11/10 See Canvas

Nov 8
The Nonparametric Bootstrap,
Jackknife, and Permutation Tests
(8.4 and Comments, p. 177 #20, 21, p. 424-427, #32,33)

Nov 10
Permutation Tests and Nonparametric Density Estimation
(12.1-12.4)

For permutation test, we should probably look at: randomization tests
and Bootstrap and Permutation Tests from the Pillow Lab
HW#9 due 11/17 See Canvas

Nov 15
Nonparametric Density Estimation
(12.1-12.4)

Nov 17
Nonparametric Density Estimation and Regression
(12.1-12.4)
Chapter 14 Intro and (9.7)

Check out the density estimation reference paper by Silverman (on Canvas).
Professor Geyer has extensive notes on Smoothing (pdf)
HW#10 due 12/1 See Canvas

Nov 22
Smoothing and Nonparametric Regression, Smoothing Splines
(14.1-14.4, 9.7)
Lab

Nov 24
No Class - Happy TG!

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Nov 29
Smoothing and Nonparametric Regression, Smoothing Splines
(14.1-14.4, 9.7)

Dec 1
Nonparametric Surprise!
Random Forest Tutorial or
Quantile Regression Vignette

Here is a description of little o notation

Final Exam, Fri. Dec. 10, 3:30-5:30PM, in class.
Final Exam Information

Dec 6
Journal Article Project Presentations
see Journal Article Project web page for info.
Review
HW#10 Material Final Exam Practice Problem AND
After Midterm Review Outline

Dec 8
Journal Article Project Presentations
see Journal Article Project web page for info. Projects due!

Final Exam, Fri. Dec. 10, 3:30-5:30PM, in class.
Final Exam Information