Lecture Schedule
Date Topic(s) Data/Assignment Reading Computer Program
8/22 Introduction   Chapter 0 Plotting pdfs, cdfs in SAS;
Plots using GPLOT
8/24 Introduction, continued Hw1, due 9/9 Chapter 0  
8/26 Introduction to SAS
meet in Admin 225
. Start Paste Output SAS Intro material
Sample SAS Program

students burgers
Sample CRF SAS Program
SAS Macro program
8/29 Single sample inference for the median and cdf . Chap.1.1-1.2 Median and ecdf SAS code
8/31 Single sample inference, continued   Chap.1.1-1.2 temperature data
Median, ecdf, percentile SAS code
9/2 Comparison of tests . Chap. 1.2-1.3 Normal data comparison
Laplace data comparison
9/5 Labor day holiday; no lecture .    
9/7 Two sample permutation tests . Chap. 2.1-2.2 CDF difference example
9/9 Wilcoxon rank-sum test Hw1 due Chap. 2.3-2.5 Two-sample permutation macro
Wilcoxon rank-sum test
9/12 Homework review; more on Wilcoxon . Chap. 2.4-2.5 Permutation-Rank Sum comparison
Wilcoxon ties example
9/14 Mann-Whitney test and confidence interval;
Siegel-Tukey and Ansari-Bradley tests
Hw2, for discussion
on 9/23
Chap. 2.5-2.6,2.8 Siegel-Tukey, Ansari-Bradley tests
9/16 Deviance and omnibus tests; scoring systems Project part 1 due Chap. 2.8, 2.7 RMD permutation macros
Kolmogorov-Smirnov test
9/19 Scoring systems; comparing tests . Chap. 2.7, 2.9 Scores SAS code
9/21 Comparing tests; large sample approximations . Chap. 2.9, 2.10 Shift c.i. program;
Large sample permutation example
9/23 Large sample approximations . Chap. 2.10  
9/26 Homework 2 discussion;
K sample permutation tests
Hw2 discussion Chap. 3.1 K sample permutation F test
9/28 Kruskal-Wallis test and multiple comparisons Exam 1 take home problems Chap. 3.2-3.3 KW test with ties, scores
Multiple comparisons
9/30 Multiple comparisons; ordered alternatives . Chap. 3.3-3.4  
10/3 Exam 1 .    
10/5 Ordered alternatives;
Paired-comparison permutation test
. Chap. 3.4; 4.1 Jonckheere-Terpstra test
10/7 Paired-comparison permutation test;
Signed rank test
. Chap. 4.1, 4.2 Signed rank test, Sign test
10/10 Exam review .    
10/12 Signed rank test with ties; Sign test . Chap. 4.2, 4.3  
10/14 Permutation RCB F test;
Friedman's test
Hw3, due 10/24 Chap. 4.4 Friedman's test
10/17 Friedman's test; Comparison of tests . Chap. 4.5 Candy example
10/19 Page's test . Chap. 4.6 Page's test; RCB Mult. Comp.
10/21 Permutation test for correlation and slope . Chap. 5.1 Perm. test for Pearson's corr.
10/24 Spearman correlation Hw3 due Chap. 5.2 Perm. test for Spearman's corr.
10/26 Kendall's tau-a and tau-b . Chap. 5.3 DVD data ; Judges data
10/28 No meeting today; to be rescheduled .    
10/31 Homework review .    
11/2 More on Kendall's tau-b;
Permutation chi-squared tests
. Chap. 5.3, 5.4  
11/4 Permutation chi-squared tests;
Multiple comparisons
Hw4, for discussion
on 11/11
Chap. 5.4 Perm. chi-squared test
11/7 Fisher's exact test;
Tables with ordered categories
. Chap. 5.5, 5.6 Football data;
Ordered category code
11/9 Chapter 5 review;
Introduction to the Bootstrap
. Chap. 8.1  
11/11 Homework 4 discussion Hw4 discussion;
Exam 2 take home problems
   
11/14 The Basic Bootstrap Method . Chap. 8.1 Simulation vs. Bootstrap graphs;
Basic bootstrap example
11/16 Location-Scale Bootstrap Intervals . Chap. 8.2 Location-scale bootstrap code
11/17 Exam 2, Renfrew 127 at 6 pm .    
11/18 Percentile and Residual Bootstrap C.I.'s . Chap. 8.3 Percentile, residual bootstrap code;
Bootstrap macro at SAS
11/21-
11/25
Thanksgiving break .    
11/28 Exam 2 review;
Types of bivariate bootstrap sampling 
. Chap. 8.4  
11/30 Bootstrap tests and confidence intervals
for multiple regression
Hw5, for discussion
on 12/9; Data available
at text website
Chap. 8.7 Bootstrap mult. reg. tests
Bootstrap mult. reg. conf. intervals
12/2 Aligned rank tests for ANOVA models . Chap. 9.2 Aligned rank SAS code
12/5 More aligned rank tests Course project due;
Exam 3 take home problems
Chap. 9.2  
12/7 Homework 5 discussion Hw5 notes   Bootstrap MSE macro
Bootstrap pivot macro
Bootstrap Mult Reg tests macro
Bootstrap Mult Reg CI macro
12/9 Robust regression; review . Chap. 10.3 Bisquare functions;
Robust M regression;
General bootstrap mult reg macro
Finals
week
Exam on 12/12, 1 pm   . .