STAT 672 Calendar

STAT 672 Calendar

Monday

Wednesday

Additional Information

Jan 26
Introduction, Binomial Test
(2.1)

Jan 28
Binomial Tests, CIs, Estimators
(2.1-2.3)
Compter Lab, please come to class in GMCS-325 first!
Lab1
HW#1
R: binom.test()

Feb 2
Binomial Test, CIs, and Estimators
(2.1-2.3)

Feb 4
Signed Rank Test
(3.1)
HW#2
Wilcoxon Sign Rank Test
Class example: R code
Class example: R output

Feb. 9
Estimator and CI
for Wilcoxon's Signed Rank Test
(3.2-3.3)

Feb. 11
The Sign Test
(3.4-3.7)
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 16
The Sign Test and Efficiency
(3.4-3.7, 3.11)

Feb 18
Wilcoxon Rank Sum Test
(4.1)
HW#4
For Problem 54,
What to do with 0s in the Sign test
Class example: R code
Class example: R output

Feb 23
Rank Sum Test (cont.)
(4.1)

Feb 25
Rank Sum Test Estimator, CI, and Efficiency
(4.2,4.3,4.5)
Compter Lab, please come to class in GMCS-325 first!
Lab2
HW#5
Wilcoxon Rank Sum Test
Class example: R code
Class example: R output
Here is my ustat.R function for HW#5 Problem 3

March 2
Robust Rank Test for Behrens-Fisher Problem, and Efficiency
(4.4, 4.5)

March 4
Ansari-Bradley Test
(5.1)
HW#6
Ansari-Bradley Test
Class example: R plots
Class example: R code
Class example: R output

March 9
Ansari-Bradley and Lepage Tests
(5.1, 5.3)

March 11
Linear Rank Statistics
No homework
Midterm Exam, March. 18
Part I: in-class, Part II: take-home
Midterm Exam Information

March 16
Linear Rank Statistics

March 18
Part I: in-class, Part II: take-home
Midterm Exam Information
Here is the
Midterm Exam Part II
.

March 23
Spearman Test for Indendence Based on Ranks
(8.5)

March 25
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.

March 30
Spring Break, yipee!

April 1
Spring Break
.

April 6
EDF and Kolomogorov-Smirnov Test
(5.4)

April 8
The Bootstrap and Kendall's Test for Independence
(8.1-8.4)
Compter Lab, please come to class in GMCS-325 first!
Lab3
HW#7
.

April 13
The Nonparametric Bootstrap and the Jackknife
(8.4, p. 165-166)

April 15
The Bootstrap (cont.)
HW#8
Here is my tauboot.r function.

April 20
The Nonparametric Bootstrap and the Jackknife
(8.4, p. 165-166)

April 22
Nonparametric Density Estimation (9.7)
HW#9
Here's a reference paper: BCa.pdf
Here's a density estimation reference paper: silverman2.pdf

April 27
Density Estimation and Nonparametric Regression
(9.7)

April 29
Nonparametric Regression
(9.7)
Compter Lab, please come to class in GMCS-325 first!
Lab4
HW#10
.

May 4
Nonparametric Regression
(9.7)

May 6
Nonparametric Regression
(9.7)
.

May 11
Journal Article Project Presentations (Extra Day)

May 13
Journal Article Project Presentations

Final Exam, Thurs. May 14 10:30-12:30
In-class
Here is Final Exam Information

Monday	Wednesday	Additional Information
Jan 26 Introduction, Binomial Test (2.1)	Jan 28 Binomial Tests, CIs, Estimators (2.1-2.3) Compter Lab, please come to class in GMCS-325 first! Lab1 HW#1	R: binom.test()
Feb 2 Binomial Test, CIs, and Estimators (2.1-2.3)	Feb 4 Signed Rank Test (3.1) HW#2	Wilcoxon Sign Rank Test Class example: R code Class example: R output
Feb. 9 Estimator and CI for Wilcoxon's Signed Rank Test (3.2-3.3)	Feb. 11 The Sign Test (3.4-3.7) 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 16 The Sign Test and Efficiency (3.4-3.7, 3.11)	Feb 18 Wilcoxon Rank Sum Test (4.1) HW#4	For Problem 54, What to do with 0s in the Sign test Class example: R code Class example: R output
Feb 23 Rank Sum Test (cont.) (4.1)	Feb 25 Rank Sum Test Estimator, CI, and Efficiency (4.2,4.3,4.5) Compter Lab, please come to class in GMCS-325 first! Lab2 HW#5	Wilcoxon Rank Sum Test Class example: R code Class example: R output Here is my ustat.R function for HW#5 Problem 3
March 2 Robust Rank Test for Behrens-Fisher Problem, and Efficiency (4.4, 4.5)	March 4 Ansari-Bradley Test (5.1) HW#6	Ansari-Bradley Test Class example: R plots Class example: R code Class example: R output
March 9 Ansari-Bradley and Lepage Tests (5.1, 5.3)	March 11 Linear Rank Statistics No homework	Midterm Exam, March. 18 Part I: in-class, Part II: take-home Midterm Exam Information
March 16 Linear Rank Statistics	March 18 Part I: in-class, Part II: take-home Midterm Exam Information Here is the Midterm Exam Part II	.
March 23 Spearman Test for Indendence Based on Ranks (8.5)	March 25 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.
March 30 Spring Break, yipee!	April 1 Spring Break	.
April 6 EDF and Kolomogorov-Smirnov Test (5.4)	April 8 The Bootstrap and Kendall's Test for Independence (8.1-8.4) Compter Lab, please come to class in GMCS-325 first! Lab3 HW#7	.
April 13 The Nonparametric Bootstrap and the Jackknife (8.4, p. 165-166)	April 15 The Bootstrap (cont.) HW#8	Here is my tauboot.r function.
April 20 The Nonparametric Bootstrap and the Jackknife (8.4, p. 165-166)	April 22 Nonparametric Density Estimation (9.7) HW#9	Here's a reference paper: BCa.pdf Here's a density estimation reference paper: silverman2.pdf
April 27 Density Estimation and Nonparametric Regression (9.7)	April 29 Nonparametric Regression (9.7) Compter Lab, please come to class in GMCS-325 first! Lab4 HW#10	.
May 4 Nonparametric Regression (9.7)	May 6 Nonparametric Regression (9.7)	.
May 11 Journal Article Project Presentations (Extra Day)	May 13 Journal Article Project Presentations	Final Exam, Thurs. May 14 10:30-12:30 In-class Here is Final Exam Information