Posts Tagged ‘ graphics ’

Example 9.19: Demonstrating the central limit theorem

January 11, 2012
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Example 9.19: Demonstrating the central limit theorem

A colleague recently asked "why should the average get closer to the mean when we increase the sample size?" We should interpret this question as asking why the standard error of the mean gets smaller as n increases. The central limit theorem shows t...

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Misleading Statistics: Too much risk without a financial adviser?

November 22, 2011
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Misleading Statistics: Too much risk without a financial adviser?

This popular article references a report by financial consulting firms that makes a fairly convincing argument (even though they mostly neglect inferential statistics, and some parts of their argument are misleading, or otherwise not convincing) that 401(k) participants who accept "help" from financial experts take less risk and have better returns than those who do [...]

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Halloween 2011 count

November 1, 2011
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Halloween 2011 count

We don’t get many kids seeking candy at our house. I’m not sure if there just aren’t many kids in the neighborhood, or if it’s our location (next to the pond, with a big gap before the next house). I decided to keep track. As usual, we bought a huge bag of candy, and we […]

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Infographic

September 22, 2011
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Infographic

I saw this great infographic at Andrew Gelman’s blog. I’m inclined to buy an art print. Note the relationship between the central panel and the cover of the latest Amstat News (always a good source for embarrassing figures):

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A Note on Antoniak’s Approximation for Dirichlet Processes

September 21, 2011
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A Note on Antoniak’s Approximation for Dirichlet Processes

Antoniak's 1974 article titled Mixtures of Dirichlet Processes with Applications to Bayesian Nonparametric Problems (Annals of Statistics 2(6):1152-1174) is a fundamental work for most modern developments in this area. The article gives two expressions for the expected number of distinct values in a sample of size , drawn from a Dirichlet process-distributed probability distribution with [...]

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Quick labels within figures

August 26, 2011
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Quick labels within figures

One of the coolest R packages I heard about at the useR! Conference: Toby Dylan Hocking‘s directlabels package for putting labels directly next to the relevant curves or point clouds in a figure. I think I first learned about this idea from Andrew Gelman: that a separate legend requires a lot of back-and-forth glances, so [...]

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useR! Conference 2011 highlights

August 20, 2011
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useR! Conference 2011 highlights

I was at the useR! Conference at The University of Warwick in Coventry, UK, last week. My goal in going was to learn the latest things regarding (simple) dynamic graphics, (simple) web-based apps, parallel computing, and memory management (dealing with big data sets). I got just what I was hoping for and more. There are [...]

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