Advanced Data Analysis from an Elementary Point of View
stat.cmu.edu
stat.cmu.edu
Notably, it used just as much coding in R as statistical theory, which was good for me since I was a coder, and less good for the majority of the class. :P
The first formula (regression on page 29) instantly drops some math in there without any discussion of what it does or how it got there... :(
> The mathematical level of these notes is deliberately low; nothing should be beyond a competent third-year undergraduate. But every subject covered here can be profitably studied using vastly more sophisticated techniques; that’s why this is advanced data analysis from an elementary point of view.
"Elementary" is a relative term in my experience.
The formula on 29 is the expected value of the quantity, (Y-m)^2. It is the average squared error under the distribution of Y incurred by a chosen value of m.
> This is a draft textbook on data analysis methods, intended for a one-semester course for advance undergraduate students who have already taken classes in probability, mathematical statistics, and linear regression.