Instructor: Dr. Wenbin Lu (email:
lu@stat.ncsu.edu)
Lectures: M, W 10:1511:30am, 1108 SAS
Hall.
Office Hour:
W 1:002:00pm, 5212 SAS
Hall (or by appointment)
Syllabus: fall2016
TA: Wanying Ma (email: wma9@ncsu.edu)
Office Hour: T 1:302:30pm and TH 1011am, 1101 SAS Hall
Textbooks: Introduction to Modern
Nonparametric Statistics by J. J. Higgins,
Duxbury (Thomson)
Descriptions: The course provides an
introduction to statistical
estimation and inference methods that require relatively mild
assumptions about
the population distribution. Classical nonparametric hypothesis testing
methods, Spearman and Kendall correlation coefficients, permutation
tests,
bootstrap methods, and nonparametric regressions will be covered.
Course Schedule 

Week 1 

Week 2 
Lecture 2: One sample method 



Week 3 




Week 4 
Labor Day (no class) 

Lecture 6: One sample method 

Week 5 

Lecture 8: Two sample method 


Week 6 
Midterm #1, 09/19/2016 (Monday), in class 



Week 7 
Lecture 10: Two sample method 

Lecture 11: Two sample method 

Week 8 

Lecture 13: K sample method 

Week 9 
Lecture 14: K sample method 

Lecture 15: Paired comparison and
block design (HW7) solution 

Week 10 
Lecture 16: Paired comparison and
block design 

Lecture 17: Paired comparison and
block design (HW8) solution 


Week 11 
Midterm #2, 10/24/2016 (Monday), in class  coverage 

Lecture 18: Tests for trends and
association 

Week 12 


Lecture 20: Tests for trends and
association 

Week 13 



Lecture 22: Tests for trends and association 

Week 14 


Lecture 24: Bootstrap methods 

Week 15 
Lecture 25: Smoothing methods and
robust model fitting 




Week 16 
Lecture 26: Review and questions
(November 30) coverage 

Lecture 27: no lecture (preparation for final exam) 

Final Exam 
12/05/2016 (Monday), 811am, SAS Hall 5270 



