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Hey Evan, from one statistics guy to another, thanks for fighting the good fight :). The formulas might benefit from examples, especially with some of the more
by christopheraden 13y ago
Hey Evan, from one statistics guy to another, thanks for fighting the good fight :).
The formulas might benefit from examples, especially with some of the more complicated cases (KS test and onwards). The important part of statistics comes from knowing _when_ to apply something, rather than _how_ to (that part is just math/numerical analysis).
A mention of the assumptions of each of these intervals would be good, too. Too often I see conclusions invalidated by using a probability model that doesn't make sense. This is a common failure I see with using a Wald interval for the slope of the regression line.
- EvanMiller 13y agoAgreed 100%! As the introduction says this is supposed to be a "cheat-sheet" and a jumping-off point for further discovery... I'd love to see (and write!) more posts on when to apply things.
- yankoff 13y agoWhile you guys are here, can you recommend a good intro book for statistics?
- pseut 13y agoVery intro (like, Stats 101 intro): Purves, Pisani, and Freedman's is the best book I've seen. I'd combine that with something like Tufte's or Wainer's statistical graphics books to try to get some sophistication (for lack of a better word).
- christopheraden 13y agoYankoff, you might want to be more specific. Intro statistics in general, or for computer scientists, or scientists, or looking to learn R at the same time? I liked Freedman, Pisani, and Purves [1], and have TA'ed using McClave, Sincich, and Mendenhall [2]. You may want something a little more advanced than these, but they are pretty good for intro level. [1]: http://www.amazon.com/Statistics-4th-David-Freedman/dp/0393929728 http://www.amazon.com/Statistics-4th-David-Freedman/dp/03939... [2]: http://www.amazon.com/Statistics-11th-Edition-Book-CD/dp/0132069512/ref=pd_sim_b_2 http://www.amazon.com/Statistics-11th-Edition-Book-CD/dp/013... [3]: http://stats.stackexchange.com/questions/421/what-book-would-you-recommend-for-non-statistician-scientists http://stats.stackexchange.com/questions/421/what-book-would...
- yankoff 13y agoYeah, I meant something for computer scientists. I'm going over coursera ML course currently and wanted to learn at least basics of statistics in parallel. Thanks, I'll check out your links. Btw, what do you think of OpenIntro statistics?http://www.openintro.org/stat/down/OpenIntroStatSecond.pdf http://www.openintro.org/stat/down/OpenIntroStatSecond.pdf
- christopheraden 13y agoYou will find the intro books don't talk much about parallel computing. Most of the general data sets in intro books will be no more than 30 observations. They are trying to teach classical methods moreso than useful computational techniques. As for parallel statistics, I don't have a good book recommendation. Most of my knowledge on the topic comes from papers and vignettes from the R community and not books. Maybe check out one of those O'Reilly books about big data techniques? I haven't seen this OpenIntro statistics before. I'll check it out!
- vdm 13y agoThat OpenIntro pdf looks great! Thanks for the link.
- mattrepl 13y agoYou may like Wasserman's All of Statistics: http://www.stat.cmu.edu/~larry/all-of-statistics/ http://www.stat.cmu.edu/~larry/all-of-statistics/ It was written as an introduction to statistics for people in CS and related fields.
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- wsh 13y agoI like the NIST/SEMATECH e-Handbook of Statistical Methods (http://www.itl.nist.gov/div898/handbook/ http://www.itl.nist.gov/div898/handbook/). The e-Handbook won't make you an expert statistician, but as an engineer needing to understand and apply statistical methods, I've found it to be a good starting point.
- alanthonyc 13y agoCheck out the Intro to Stats course on Udacity: https://www.udacity.com/course/st101 https://www.udacity.com/course/st101 Just took it earlier this year. It was informative and I enjoyed the class.