STAT 672 Calendar

Tuesday

Thursday

Additional Information

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Jan 20
Introduction, Binomial Test
(2.1)

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Jan 25
Binomial Tests, Power, CI, Estimators
(2.1-2.3)

Jan 27
Binomial Tests, CIs, Estimators
(2.1-2.3)
Compter Lab, please come to class in GMCS-308 first!
Lab1
HW#1

R: binom.test()

Feb 1
Binomial Test, CIs, and Estimators
(2.1-2.3)

Feb 3
Signed Rank Test
(3.1)
HW#2

Wilcoxon Sign Rank Test
Class example: R code
Class example: R output

Feb. 7
Estimator and CI
for Wilcoxon's Signed Rank Test
(3.2-3.3)

Feb. 10
Estimator and CI
for Wilcoxon's Signed Rank Test (3.2-3.3)
HW#3

We can sure learn from Professor Charlie Geyer's course
Computer Examples For the Wilcoxon Sign Rank Test!
Class example: R code
Class example: R output

Feb 15
The Sign Test
(3.4-3.7)

Feb 17
Efficiency
(3.11)
HW#4

For Problem 3.54,
What to do with 0s in the Sign test?
Class example: R code
Class example: R output

Feb 22
Wilcoxon Rank Sum Test
(4.1)

Feb 24
Rank Sum Test Estimator, CI, and Efficiency
(4.2,4.3,4.5)
Compter Lab, please come to class in GMCS-308 first!
Lab2

Wilcoxon Rank Sum Test
Class example: R code
Class example: R output
Here is my ustat.R function for HW#5 Problem 3

March 1
Robust Rank Test for Behrens-Fisher Problem, and Efficiency
(4.4, 4.5)

March 3
Ansari-Bradley Test
(5.1)
HW#6

Ansari-Bradley Test
Class example: R plots
Class example: R code
Class example: R output

March 8
Ansari-Bradley and Lepage Tests
(5.1, 5.3)

March 10
Review, Linear Rank Statistics
No homework - Practice Problem: p. 178, 5.31

Midterm Exam, March. 17
Part I: in-class, Part II: take-home
Midterm Exam Information

March 15
Linear Rank Statistics

March 17
Part I: in-class, Part II: take-home
Midterm Exam Information
Here is the
Midterm Exam Part II

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March 22
EDF and Kolomogorov-Smirnov Test
(5.4)

March 24
One-way Layout (Kruskal-Wallis Test)
(6.1)
Compter Lab, please come to class in GMCS-308 first!
Lab(Sweet16)
HW#7 due April 14

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March 29
Spring Break, yipee!

March 31
Spring Break

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April 5
Spearman Test for Indendence Based on Ranks
(8.5)

April 7
Kendall's Test for Indenpendence (8.1-8.4)

Check out Charlie Geyer's
Computer Examples for:
Correlation
The dataset is available off the web page, too. 		.

April 12
The Nonparametric Bootstrap
(8.4, p. 165-166)

April 14
The Bootstrap and Better Bootstrap (cont.)
Compter Lab, please come to class in GMCS-308 first!
Lab3
HW#8

Here is my tauboot.r function.

April 19
The Nonparametric Bootstrap and the Jackknife, Better Bootstrap
(8.4, p. 165-166)

April 21
Nonparametric Density Estimation (9.7)
HW#9

Here's a reference paper: BCa.pdf
Here's a density estimation reference paper: silverman2.pdf

April 26
Density Estimation and Nonparametric Regression
(9.7)

April 28
Nonparametric Regression
(9.7)
Compter Lab, please come to class in GMCS-308 first!
Lab4
Extra Practice Problems (not to be turned in!)

Professor Geyer has extensive notes on Smoothing (pdf)

May 3
Cross Validation and Nonparametric Regression
(9.7)

May 5
Review for Final Exam and
Journal Article Project Presentations (Extra Day)

Final Exam, Tues. May 17 3:30-5:30
In-class
Here is Final Exam Information

May 10
Journal Article Project Presentations

. Final Exam, Tues. May 17 3:30-5:30
In-class
Here is Final Exam Information