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Additional Information |
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Jan 18
Introduction, Binomial Test
(2.1)
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Jan 23
Binomial Tests, CIs, Estimators
(2.1-2.3)
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Jan 25
Binomial Tests, CIs, Estimators
(2.1-2.3)
Compter Lab GMCS-422, please come to class in GMCS-325 first!
Lab1
HW#1
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R: binom.test()
Here are some R tutorials
See bottom of Lab1 for Intro to R
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Jan 30
The Sign Test
(3.4-3.6)
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Feb 1
The Sign Rank Test
(3.1)
HW#2
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CI for Sign Test:
Class example: R code
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Feb 6
Signed Rank Test
(3.1)
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Feb 8
Signed Rank Test, Estimators, and CIs
(3.1-2.3)
Compter Lab GMCS-422, please come to class in GMCS-325 first!
Lab2a
HW#3
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Wilcoxon Sign Rank Test
Class example: R code
Class example: R output
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Feb 13
Efficiency of Wilcoxon Sign Rank
Wilcoxon Rank Sum Test
(3.11, 4.1)
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Feb 15
Rank Sum Test Estimator, CI, and Efficiency
(4.2,4.3,4.5)
HW#4
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Derivation of Variance of W
Wilcoxon Rank Sum Test
Class example: R code
Class example: R output
Here is Professor Charlie Geyer's
Computer Examples
For the Wilcoxon Rank Sum Test!
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Feb 20
Robust Rank Test for Behrens-Fisher Problem, and Efficiency
(4.4, 4.5)
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Feb 22
Ansari-Bradley Test
(5.1)
Lab2
HW#5
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Ansari-Bradley Test
Class example: R plots
Class example: R code
Class example: R output
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Feb 27
Ansari-Bradley and Lepage Tests
(5.1, 5.3)
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March 1
EDF and Kolomogorov-Smirnov Test
(5.4)
HW#6
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March 6
Linear Rank Statistics
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March 8
Linear Rank Statistics
One-way Layout (Kruskal-Wallis Test)
(6.1)
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Midterm Exam, March 15
Part I: in-class, Part II: take-home
Midterm Exam Information
Let's check out Professor Geyer's One-way Examples
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March 13
One-way Layout (Kruskal-Wallis Test)
(6.1)
Review
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March 15
Midterm Exam
Part I: in-class, Part II: take-home
Midterm Exam Information
Midterm Exam Part II
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March 20
One-way Layout (Kruskal-Wallis Test)
Spearman Test for Indendence Based on Ranks
(6.1, 8.5)
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March 22
Kendall's Test for Indenpendence
(8.1-8.4)
HW#7
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Check out Professor Charlie Geyer's
Computer Examples for:
One-way layout and
Correlation
The dataset is available off the web page, too.
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March 27
Spring Break, yipee!
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March 29
Spring Break
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April 3
Nonparametric Density Estimation
(12.1-12.3)
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April 5
Nonparametric Density Estimation
(12.1-12.4)
HW#8
Lab
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Check out the density estimation reference paper by Silverman:
in Course Documents Folder on BB.
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April 10
Smoothing and Nonparametric Regression
(14.1-14.4, 9.7)
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April 12
Smoothing and Nonparametric Regression, Smoothing Splines
(14.1-14.4, 9.7)
HW#9
Lab
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Professor Geyer has extensive notes on Smoothing (pdf)
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April 17
CV and GCV, The Nonparametric Bootstrap and Better Bootstrap
(8.4 and Comments, p. 177 #21, p. 424-427, #32,33)
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April 19
The Nonparametric Bootstrap and Better Bootstrap (cont.)
Lab3
(8.4 and Comments, p. 177 #21, p. 424-427 #32,33)
HW#10
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Here is my
tauboot.r function.
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April 24
The Nonparametric Bootstrap and Better Bootstrap, Jacknife after Bootstrap
(8.4 and Comments, p. 177 #21, p. 424-427, #32,33)
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April 26
The Nonparametric Bootstrap (cont.)
Lab3
(8.4 and Comments, p. 177 #21, p. 424-427 #32,33)
HW#10
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BLB
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May 1
Review for Final Exam and
Journal Article Project Presentations
see Journal Article Project web page for info.
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May 3
Journal Article Project Presentations
see Journal Article Project web page for info.
Projects due!
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Final Exam, Mon. May 8, 3:30-5:30PM, in class.
Final Exam Information
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