STAT 345: Nonparametric Statistics
[Sitemap]

Vital Statistics

Lecture Room

LOW 12-1105

Class Times

Tuesday & Thursday, 09:30-10:45

Required Textbook

Conover, Practical Nonparametric Statistics, Third Edition (Wiley, 1999). ISBN 978-0-471-16068-7

Recommended Textbook

Hollander, Wolfe & Chicken, Nonparametric Statistical Methods, Third Edition (Wiley, 2014). ISBN 978-0-471-16068-7

R package

Other Useful References

Higgins, Introduction to Modern Nonparametric Statistics, First Edition (Brooks/Cole, 2004). ISBN 978-0-534-38775-4
Gibbons & Chakraborti, Nonparametric Statistical Inference, Fifth Edition (CRC, 2011). ISBN 978-1-420-07761-2

Course Webpage

http://ccrg.rit.edu/~whelan/STAT-345/ (this page)

Instructor

Dr. John T. Whelan

LAC 74-2063, 5-5083

jtwsma@rit.edu

Office Hours (Tentative)

TR 11:00-11:50 (at Java Wally's) & 14:00-14:50 (in LAC 74-2063)

Course outline

Syllabus

Mailing list

discuss-statistics-whelan

Topics and Course Calendar

We will cover most of Conover including the following topics:

Fundamentals of Statistical Inference
Binomial Tests
Rank-Based Tests
Kolmagorov-Smirnov Statistics for Comparing Distribution Functions
Contingency Tables

A tentative timetable is given in the Course Calendar.

Lecture Notes

Problem Sets

Problem Set 1 -- Due 2018 September 4
Problem Set 2 -- Part One due 2018 September 11; Part Two due 2018 September 13
Problem Set 3 -- Part One due 2018 September 18; Part Two due 2018 September 20
Problem Set 4 -- Due 2018 September 28
Problem Set 5 -- Due 2018 October 18
- ipython notebook for part 2
Problem Set 6 -- Due 2018 October 25
- ipython notebook for part 2
Problem Set 7 -- Due 2018 November 1
- ipython notebook for part 2
Problem Set 8 -- Due 2018 November 6
Problem Set 9 -- Due 2018 November 20
- ipython notebook for problem 2.2
Problem Set 10 -- Due 2018 November 29
Problem Set 11 -- Due 2018 December 6

Links

Python
- SciPy
  - NumPy
  - ipython
- matplotlib
- Bundled distributions of the above python tools (especially useful for Mac & Windows users)
  - Enthought Python Distribution (free academic license, must be renewed annually)
  - Anaconda (basic installation is free)
- Cloud-based python/ipython services:
  - Wakari
R (computing language)
- R tutorial

Webpages for Prerequisite Courses

Here are some prior webpages for sections I've taught of MATH 252, as well as the quarter-system courses 1016-345 and 1016-351, which were rough equivalents to MATH 251. You may find the the associated course materials useful.

Last Modified: 2018 December 2

Dr. John T. Whelan / john.whelan@astro.rit.edu / Professor, School of Mathematical Sciences & Center for Computational Relativity and Gravitation, Rochester Institute of Technology

The contents of this communication are the sole responsibility of Prof. John T. Whelan and do not necessarily represent the opinions or policies of RIT, SMS, or CCRG.

JTW > Courses > STAT 345: Nonparametric Statistics [Sitemap]