A Comparative Review of Nonparametric Statistics Textbooks

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    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 languageEnglish
    Pages (from-to)360-366
    Number of pages7
    JournalAmerican Statistician
    Volume73
    Issue number4
    Early online date5 Jun 2018
    DOIs
    Publication statusPublished - 2019

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