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What a beautiful presentation! Tangentially: I am really enjoying the book "All of Statistics" as a reference for better understanding things like histograms,
by lukego 9y ago
What a beautiful presentation!
Tangentially: I am really enjoying the book "All of Statistics" as a reference for better understanding things like histograms, kernel density functions, etc, and their parameters.
https://www.amazon.com/All-Statistics-Statistical-Inference-Springer/dp/0387402721 https://www.amazon.com/All-Statistics-Statistical-Inference-...
- emblaegh 9y agoAren't you refererring to "All of non-parametric statistics"? https://www.amazon.com/All-Nonparametric-Statistics-Springer-Texts/dp/0387251456/ref=pd_sim_14_2?_encoding=UTF8&pd_rd_i=0387251456&pd_rd_r=A80KVD50R9SXCVJR2ZF9&pd_rd_w=kMY5a&pd_rd_wg=pdqY8&psc=1&refRID=A80KVD50R9SXCVJR2ZF9 https://www.amazon.com/All-Nonparametric-Statistics-Springer... Either way I can't recommend these books enough, really opened my eyes to the inner workings of statistics in a rigorous yet accessible way.
- lukego 9y agoJust ordered that one too :-). I am actually most interested non-parametric statistics, especially to "reformulate" as many statistical tests as possible using a small number of robust primitives (like the bootstrap.) More pointers in that direction would be very welcome :-) Tangent to a tangent: The other most enjoyable stats book I have found is "Statistical Modeling: A Fresh Approach" http://www.mosaic-web.org/go/StatisticalModeling/ http://www.mosaic-web.org/go/StatisticalModeling/