Tags: statistics (226)

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  1. "The correlations were much lower between Mendeley readers and citation counts for conference papers than for journal articles in Building & Construction Engineering and Industrial and Manufacturing Engineering. Hence, there seem to be disciplinary differences in the usefulness of Mendeley readership counts as impact indicators for conference papers, even between fields for which conferences are important."
  2. Saw this paper at CHI. Pretty awesome although not entire sure what this is good for.
  3. "Proofs of obscure provenance are sometimes overlooked at first, but usually not for long: A major paper like Royen’s would normally get submitted and published somewhere like the Annals of Statistics, experts said, and then everybody would hear about it. But Royen, not having a career to advance, chose to skip the slow and often demanding peer-review process typical of top journals. He opted instead for quick publication in the Far East Journal of Theoretical Statistics, a periodical based in Allahabad, India, that was largely unknown to experts and which, on its website, rather suspiciously listed Royen as an editor. (He had agreed to join the editorial board the year before.)"
  4. Awesome project created by an undergrad at Brown!
  5. 20-02-2017 to , , , , by mako
  6. "R provides Type I sequential SS, not the default Type III marginal SS reported by SAS and SPSS. In a nonorthogonal design with more than one term on the right hand side of the equation order will matter (i.e., A+B and B+A will produce different results)! We will need use the drop1( ) function to produce the familiar Type III results."
    20-02-2017 to , , , , by mako
  7. I'm a little disappointed in this article. It's a little incoherent and doesn't do a great job of talking about what it means by statistics. It's something about the political power of data collection?
  8. Very nice talk.
  9. 16-12-2015 to by mika
  10. 16-12-2015 to by mika
  11. 15-12-2015 to by mika
  12. systematic and random measurement errors
    14-09-2015 to , by mika
  13. updated: 28-09-2014, original: 28-09-2014 to , , , , , , by mako
  14. updated: 30-11-2013, original: 30-11-2013 to , , , , , , , by mako
  15. ggplot2 in Python. Awesome.
  16. If you liked the Acetarium, you're going to love...
  17. 13-08-2013 to , , by aldeka
  18. 25-06-2013 to , by mika
  19. 23-06-2013 to , by mika
  20. 16-06-2013 to by mika
  21. We did alright!
    23-02-2013 to , , , by mako
  22. 19-02-2013 to , , by aldeka
  23. Listing of classic R datasets used in various packages
    updated: 29-01-2013, original: 29-01-2013 to , , , , by aarondshaw
  24. Proprietary R with a bunch of go-fast stuff for big data.
  25. I found all the talk about statistics to be really really annoying. I mean, dude, it's a sample size of -2-. Experiments? Sure. But statistics aren't going to help you in a situation where you are compare two groups of size 1.
    updated: 16-12-2012, original: 16-12-2012 to , , , , , , , , by mako
  26. OK. That is incredible.

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