Listed in: Mathematics and Statistics, as STAT-225
Ryan P. McShane (Section 01)
This course is an introduction to nonparametric and distribution-free statistical procedures and techniques. These methods rely heavily on counting and ranking techniques and will be explored through both theoretical and applied perspectives. One- and two-sample procedures will provide students with alternatives to traditional parametric procedures, such as the t-test. We will also investigate correlation and regression in a nonparametric setting. A variety of other topics may be explored in the nonparametric setting including resampling techniques (for example, bootstrapping), categorical data and contingency tables, density estimation, and the one-way and two-way layouts for analysis of variance. The course will emphasize data analysis (with appropriate use of statistical software) and the intuitive nature of nonparametric statistics.
Requisite: STAT 111 or STAT 135. Limited to 24 students. Spring semester. Visiting Assistant Professor McShane.
Section 01
Tu 11:30 AM - 12:50 PM SCCE A331
Th 11:30 AM - 12:50 PM SCCE A331
This is preliminary information about books for this course. Please contact your instructor or the Academic Coordinator for the department, before attempting to purchase these books.
| ISBN | Title | Publisher | Author(s) | Comment | Book Store | Price |
|---|---|---|---|---|---|---|
| Nonparametric Statistical Methods (3rd Edition) | Hoboken, NJ: Wiley & Sons, 2014 | Hollander, Miles, Douglas A. Wolfe, and Eric Chicken | E-book available | TBD | ||
| Nonparametric Statistical Methods Using R | Boca Raton, FL: CRC Press, 2014 | Kloke, John | E-book available | TBD |