A Comparative Review of Nonparametric Statistics Textbooks

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.

本文将对六本常用于大学本科非参数统计（nonparametric statistics）课程的指定教材进行评述。本次评述将从关键统计概念的阐释方式、软件工具的使用情况、课后习题设置，以及教材在「理论-应用」轴与「算法-原理」轴上的定位四个维度展开。教材在这两个轴上的定位分布，可为寻求最契合自身非参数统计课程教学思路的任课教师提供全新的参考指引。