A Comparative Review of Nonparametric Statistics Textbooks

Alice Richardson

The American Statistician, 2019, vol. 73, issue 4, 360-366

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.

Date: 2019
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DOI: 10.1080/00031305.2018.1437076

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