Hi, Norm Matloff here. For information about me, see my first post to this blog.
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Hi, Norm Matloff here. For information about me, see my first post to this blog.
Mad (Data) Scientist 
There are some newer texts introducing inference via resampling rather than the classical z/t-tests:
at the Intro Stats level:
Lock, Lock, Lock, Lock, Lock: “Statistics: Unlocking the Power of Data”
http://www.lock5stat.com/
and at the Math Stats level
Chihara, Hesterberg: “Mathematical Statistics with Resampling and R”
http://www.wiley.com/WileyCDA/WileyTitle/productCd-1118029852.html
Also,I know of another Intro Stats text starting with the resampling approach in the works (being published by Wiley).
(I had meant to post the above on the “Why are we still teaching t-Tests” article!)
Understood. Feel free to repost/update.
Your book looks interesting. I’d been aware of it but had never looked into it.
Hi Sir, Do you have any plan for a new edition of the book “The Art of R Programming “
Yes, but not right now.
Hi Norm,
Perhaps you were thinking about this book published by Wiley
“Introductory Statistics and Analytics: A Resampling Perspective” by Peter C. Bruce.
The book is fully class-tested, having served as the class text for Statistics 1, 2 and 3 at The Institute for Statistics Education at Statistics.com for close to a decade. Excel-based Resampling Software is available to all readers at no charge and discussion using StatCrunch, and R to develop and analyze data.
http://www.introductorystatistics.com/description/
http://www.statistics.com/intro-stats-for-credit/
No, that’s not what I had in mind. I was referring to presenting concepts correctly.