### Syllabus for Stat 5660 Applied Nonparametric Statistics Spring Term 2018

The web page for the course is:

http://www.stat.wmich.edu/mckean/Stat5660/

Projects are due on Thur, thereafter a late penalty of 10 points per day. The absolute latest handin is on Sunday.

The text for the course is:

Nonparametric Statistical methods Using R, Kloke and McKean (2014), Boca Raton, FL: Chapman-Hall.

As the title suggests, the statistical software for this course is R. No previous knowledge of R is necessary. You will learn R as the course progresses. R is freeware and runs on all platforms. It is a powerful language (it has become the language of Statisticians) yet, as you will see, it is very simple to use.

https://cran.r-project.org/

1. Then Click on Download R for Windows, or for mac or for linux dependning on your computer.
2. Then click on install R for the first time.
Just take default and in less than a minute you will have installed R.

In Chapter 1 of the text we introduce R. Note that on the CRAN page there are free manuals for using R. Also feel free to download the following manual:
Free Manual on R

Also there is a free clickable R, R Studio, which you can download here.

Where we are: Reading and Problems for Class Discussion.

Data, rdas can be found here.

Other data can be found here.

### References:

• Theoretical: Hettmansperger, T. P. and McKean, J. W. (2011), Robust and Nonparametric Statistical Methods, 2nd Ed, Boca Raton: CRC Press (Chapman-Hall). Only \$99.
• Theoretical-Applied: Lehmann, E. L. (1975), Nonparametrics: Statistical Methods Based on Ranks, San Francisco: Holden-Day.
• Applied: Hollander, M. and Wolfe, D. A. (1999), Nonparametric Statistical Methods, 2nd Edition, New York: John Wiley & Sons.
• Applied: Conover, W. J. (1980), Practical Nonparametric Statistics, 2nd Ed, New York: John Wiley & Sons.
• Very applied: Siegel, S. (1956), Nonparametric Statistics for the Behavior Sciences, New York: McGraw-Hill. (there is a second edition, also.)

Please feel free to use the following Stat methods text. The author (Dr. Rasmussen allowed us to use it). In the Reading and Problems for Class Discussion page, I will refer to this book by Rasmussen along with the chapter, section, and page number.
Methods Book .

This is a course in applied nonparametric statistics. It assumes that the student has one undergraduate methods course in Statistics. One of the following Stat courses would satisfy this prerequisite: Stat 3640, Stat 2600, Stat 3660, Stat 2160, or Stat 3620.

Nonparametric statistical methods are inferential procedures which are valid under very mild assumptions. Hence, they are useful statistical procedures for many areas. These procedures can be used for the basic one and two sample location problems as well as higher order designs. They include techniques for the fitting of general linear models and testing general linear hypotheses. This course will cover these topics and also discuss appropriate statistical software for the computation of these procedures.

Topics Include:

1. Introduction to R, (Chapter 1 and notes).
2. Review of some simple statistical methods estimation, confidence intervals, tests of hypotheses, (Chapter 2 and notes).
3. One-sample problems including diagnostic procedures (every topic includes diagnostic procedures), (Chapter 2 and notes).
4. Two Sample Problems,(Chapter 3 and notes).
5. Regression I, (Chapter 4 and notes).
6. ANOVA (one-way and crossed), ANCOVA, (Chapter 5 and notes).
7. From this point-on, it is pick and choose from the topics:
1. Regression II, (Chapter 7 and notes).
2. Cluster Correlated Data, (Chapter 8 and notes).
3. Failure Time Data, (Chapter 6 and notes).

Office Hours:
• Dr. McKean, 5502 Everett Tower: Tue. & Thur. 1:30 - 3:00 and by appointment.
Strongly recommend calling for an appointment (387-4541) or e-mailing ( mckean@wmich.edu ) for these and other times.

• Guohao Zhu, 3367 Rood Hall: Monday through Thusday: 2:00-3:00 and by appointment.
guohao.zhu@wmich.edu

Grade: THIS IS ALL TBA: Based on MidTerm, Final, and Homework, TBA: on weights for the final grade.

• 90% - 100% A
• 87% - 89% BA
• 80% - 86% B
• 77% - 79% CB
• 65% - 76% C
• 50% - 64% D
• 0% - 49% E

Joe McKean, PhD Stat
Department Statistics
Western Michigan University
Kalamazoo, MI 49008-3899 Email to Joe McKean: mckean@wmich.edu
Department Office: (269) 387-4541

TA for the course is:

Guohao Zhu, a PhD student in Statistics
Department Statistics
Email: guohao.zhu@wmich.edu
He runs R on Windows.

WMU's Policy on Cheating and Plagiarism: The Faculty Senate has adopted the following policy. For Stat 5660 to avoid plagiarism, we note the citation and then put the paragraph in quotes.

Citation: The Professional Concerns Committee of the Faculty Senate recommends that all faculty include the following paragraph in each syllabus that they prepare for the upcoming semester. If you have questions, contact Suzie Nagel, Associate Dean of Students, at suzie.nagel@wmich.edu or Philip Guichelaar, Co-Chair of the Professional Concerns Committee, at philip.guichelaar@wmich.edu.

``You are responsible for making yourself aware of and understanding the policies and procedures in the Undergraduate (pp. 274-276) [Graduate (pp. 25-27)] Catalog that pertain to Academic Honesty. These policies include cheating, fabrication, falsification and forgery, multiple submission, plagiarism, complicity and computer misuse. If there is reason to believe you have been involved in academic dishonesty, you will be referred to the Office of Student Conduct. You will be given the opportunity to review the charge(s). If you believe you are not responsible, you will have the opportunity for a hearing. You should consult with me [instructor] if you are uncertain about an issue of academic honesty prior to the submission of an assignment or test.''