Abstract
In this article I will review six textbooks commonly set in University undergraduate nonparametric statistics courses. The books will be evaluated in terms of how key statistical concepts are presented; use of software; exercises; and location on a theory-applications axis and an algorithms-principles axis. The placement of books on these axes provides a novel guide for instructors looking for the book that best fits their approach to teaching nonparametric statistics.
| Original language | English |
|---|---|
| Pages (from-to) | 360-366 |
| Number of pages | 7 |
| Journal | American Statistician |
| Volume | 73 |
| Issue number | 4 |
| Early online date | 5 Jun 2018 |
| DOIs | |
| Publication status | Published - 2019 |