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The Probability and Statistics Cookbook
- neves 10y agoNice! Did anyone make a mobi file so I can read it in my Kindle? PDF s*cks!
- rabboRubble 10y agohttp://pdf2mobi.com/ http://pdf2mobi.com/
- shash7 10y agoKindle should be able to read pdf. If you don't mind me asking, which kindle version are you using?
- tigroferoce 10y agoKindle support to PDF is really suboptimal. It doesn't zoom or reflow anything and reading multiple columns documents is quite an hassle (at least on mine, first version paperwhite)
- neves 10y agoI have the second version, and it is also terrible. You shouldn't buy kindles to read PDFs.
- politician 10y agoYou can email your @kindle.com account with a PDF attachment, and it'll be delivered to your device. Google the details.
- petters 10y agoYes, but the experience isn't great IMO.
- neves 10y agoFirst, it just will convert it the word "convert" is in the email subject. Second, this is almost useless for multi-columns PDFs. It just works fine with very simple PDFs. Everything with a minimal of complexity becomes junk. Reading PDFs in the kindle is a terrible experience. The text doesn't reflow. You get lost in multiple columns. Even the next doesn't work fine. Since it is something open, with the original content published in GitHub, I thought someone should have generated a mobi file.
- mooneater 10y agoCool, but I would call this a cheatsheet. Almost the inverse of a cookbook, which I think of as a set of "how tos" for tasks you want to accomplish.
- donw 10y agoYeah. Don't suppose anybody has the equivalent of an actual "cookbook"? It would be a great resource for helping to skill up product owners on A/B and multivariant testing when they don't have a math-heavy background.
- mch82 10y ago"The Seventh Edition of Introduction to Statistical Quality Control provides a comprehensive treatment of the major aspects of using statistical methodology for quality control and improvement." http://a.co/5xRV2UE http://a.co/5xRV2UE Covers: Hypothesis testing (single population), Analysis of variance (multiple populations), Control charts, Design of Experiments (A/B testing and beyond). Edit: Used in the undergraduate industrial & systems engineering program at USC when I was a student. The 7th edition has various cook book style walkthroughs.
- deleted 10y ago[deleted]
- eitally 10y agoThis was used at NC State in the industrial & systems engineering program, too. Very good book.
- mavam 10y agoIronically I used to title it "cheatsheet" but then switched to "cookbook" when the document was extending beyond +25 pages. I don't mind going back to "cheatsheet". Feel free to submit a pull request.
- geokon 10y agoAnyone have a recommendation on a good statistic textbook? Everything I've tried has been absolutely horrible except for "An Introduction to Error Analysis" by John Taylor (yeah the classical mechanics guy). Unfortunately it's a bit basic...
- mch82 10y agoMy comment on another branch of this thread may help: https://news.ycombinator.com/item?id=13061431 https://news.ycombinator.com/item?id=13061431
- pbowyer 10y agoHave you looked at "Statistics in a Nutshell"? http://shop.oreilly.com/product/0636920023074.do http://shop.oreilly.com/product/0636920023074.do
- AimHere 10y agoI have this book, and it's not what I'd call a textbook. It rarely explains how any of it works (you'd be hard pressed to find the formula for a probability distribution function, for instance), so it's just a one-stop collection for a lot of useful tests and the circumstances under which they should be used. It's less of a textbook, and more of a reference for someone who needs to occasionally work with statistics and can't remember offhand when the T-test is appropriate or the procedures to undergo for a chi-squared test or whatever.
- IndianAstronaut 10y agoDiscovering Statistics Using R by Andy Field. Fantastic book and very readable and at times hillarious.
- lucianop 10y agoOpenIntro Statistics https://www.openintro.org/stat/textbook.php https://www.openintro.org/stat/textbook.php
- a_bonobo 10y agoIntuitive Biostatistics by Motulsky Goes over the commonly used methods in science but only explains the intuition behind the method and what you can and cannot expect from the results, drawbacks etc. Written in a very conversational and opinionated style, I enjoyed it.
- nonbel 10y agoIn section 13, I see they are still teaching the Fisher-Neyman Pearson hybrid (ie the null ritual). For a brief overview see [1]. To start you off: Fisher said the idea of power was nonsense[2], and Neyman-Pearson said a hypothesis is either rejected or not (there is no gradient of evidence for/against).[3] [1] Gigerenzer, G (November 2004). "Mindless statistics". The Journal of Socio-Economics. 33 (5): 587–606. doi:10.1016/j.socec.2004.09.033 [2] 'The phrase "errors of the second kind", although apparently only a harmless piece of techinical jargon, is useful as indicating the type of mental confusion in which it was coined.' -Ronald Fisher. "Statistical Methods and Scientific Induction." Journal of the Royal Statistical Society. Series B (Methodological) Vol. 17, No. 1 (1955), pp. 69-78 https://www.jstor.org/stable/2983785 https://www.jstor.org/stable/2983785 [3] 'no test based upon the theory of probability can by itself provide any valuable evidence of the truth or falsehood of that hypothesis.' -Neyman, J; Pearson, E. S. (January 1, 1933). "On the Problem of the most Efficient Tests of Statistical Hypotheses". Phil. Trans. R. Soc. Lond. A. 231 (694–706): 289–337. doi:10.1098/rsta.1933.0009.
- mavam 10y agoIndeed, when I took my introductory statistics courses at UC Berkeley (STAT 200A and STAT 200B), we discussed the pitfalls of blindly applying these concepts---albeit at very high level. Initially, I wrote this cookbook/cheatsheet in order to structure and retain the material in these courses, not to challenge them. Most of the content comes from the cited references, all of which have a very terse and mathematical presentation. It would be great to augment the current document with pointers to the literature that offer a critical discussion. As a non-statistician, I lack the historical perspective, but I always appreciate contributions from experts in the field. (The document is open-source: https://github.com/mavam/stat-cookbook https://github.com/mavam/stat-cookbook)
- nonbel 10y agoI don't have time to contribute but the wikipedia page on NHST[1] used to be pretty good about refs. A lot of the stuff pointing at controversy/history has been slowly removed the last few years... it still isn't too bad though. Anyone interested can also try looking through old versions. There have been thousands of papers published on that topic. [1] https://en.wikipedia.org/wiki/Statistical_hypothesis_testing#Origins_and_early_controversy https://en.wikipedia.org/wiki/Statistical_hypothesis_testing...
- varlock 10y agoQuite useful indeed! If I may, I'd love to see references for each concept. I appreciate anyone can look "sample space" or "parametric inference" up on Google, but it'd take some time to find some authoritative source (especially for people like who do not work with stats every day). It'd be awesome if I could see a "[1]" and a reference (or list of references), either online or offline, where the concept is defined.
- mavam 10y agoI fully agree that tracing each concept to its originating source has great value. From a presentational point of view, I wonder if it would pollute the plain/clean presentation of the formulas. Perhaps very small footnote-like citations could work, but it has to be unobtrusive. The hardest part, however, will be coming up with the authoritative source for each concept. As it's outside my field of expertise, we would have to rely on the community to fill in these details incrementally.
- DevonSA 10y agoI'm struggling to understand the CDF for the discrete uniform distribution (line 1 of the first page). I think the equation is missing a "+1" in the denominator as otherwise it doesn't make sense. Although it has been a while since I took a stats class, so I may be mistaken