Hi Achut,
Sorry for the delayed response - I had track this one down on my book shelves:
"Applied Nonparametrics Statistical Methods" by Peter Sprent and Nigel Smeeton.
It's really helpful at making sure that students walk away understanding p-values & nonparametric hypothesis testing. I think these topics are much more intuitive from a nonparametric perspective and lend themselves to computational exercises that help students learn. With this type of information, they are more likely to retain the content after the class is done.
There are also some interesting chapters at the end of the book on "modern nonparametric methods" and robustness when assumptions break down. Some of these methods might be worth coding out so that students grasp them.
If you're interested in active learning / coding options for non-parametrics, you might also consider assigning them to code up the tutorial in this:
https://www.mebden.com/reports/GPtutorial.pdfBenefits:
- Shows that nonparametrics isn't just a "no assumptions" paradigm
- gives a new perspective on familiar techniques (in this case linear / logistic regression)
- shows how not all inference has an analytical solution.
- It's online and free, so students aren't paying $50-$100 for a book they'll only use once.
Good luck! Nonparametrics is a great conceptual topic for undergrads!
Best,
Glen
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Glen Wright Colopy
DPhil Oxon
Data Scientist at Cenduit LLC, Durham, NC
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Original Message:
Sent: 07-20-2021 11:20
From: Achut Adhikari
Subject: Nonparametric Statistics Textbook
Dear ASA Community,I am looking for some recent textbooks that can be used in teaching Nonparametric Statistics. This course is primarily designed for undergraduate students. I plan to use R and / or SAS for this course. I would appreciate it if you can suggest some textbooks that you have recently used in teaching Nonparametric Statistics.
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Sincerely,
Achut Adhikari
Miami University
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