mako: statistics (164)

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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 , , , ,
  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 , , , ,
  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. updated: 28-09-2014, original: 28-09-2014 to , , , , , ,
  10. updated: 30-11-2013, original: 30-11-2013 to , , , , , , ,
  11. ggplot2 in Python. Awesome.
  12. If you liked the Acetarium, you're going to love...
  13. We did alright!
  14. Proprietary R with a bunch of go-fast stuff for big data.
  15. 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 , , , , , , , ,
  16. OK. That is incredible.
  17. "Cubism.js is a D3 plugin for visualizing time series. Use Cubism to construct better realtime dashboards, pulling data from Graphite, Cube and other sources. Cubism is available under the Apache License on GitHub."
  18. "Cube is a system for collecting timestamped events and deriving metrics. By collecting events rather than metrics, Cube lets you compute aggregate statistics post hoc. It also enables richer analysis, such as quantiles and histograms of arbitrary event sets. Cube is built on MongoDB and available under the Apache License on GitHub."
  19. Wow. Cool looking.
  20. "Project Bamboo is currently piloting a directory of tools, services, and collections that can facilitate digital research. This evolution of Lisa Spiro's DiRT wiki includes new ways of browsing and commenting on the entries. Please send us feedback on how to improve the site!"
  21. Includes a pretty interesting discussion of dealing with overdispersion in mixed-effects models (e.g., count models) by using individual-level fixed effects. It also includes a whole series of citations.
  22. Incredible answer to this question that really makes it clear. If I teach stats, I'm going to use whuber's example.
  23. 19-04-2012 to , , , ,

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