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    <title>Pinboard (amcclosky)</title>
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    <description>recent bookmarks from amcclosky</description>
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      <rdf:Seq>	<rdf:li rdf:resource="http://stevehanov.ca/blog/index.php?id=132"/>
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  </channel><item rdf:about="http://stevehanov.ca/blog/index.php?id=132">
    <title>20 lines of code that beat A/B testing every time - Steve Hanov's Programming Blog</title>
    <dc:date>2012-05-29T23:49:42+00:00</dc:date>
    <link>http://stevehanov.ca/blog/index.php?id=132</link>
    <dc:creator>amcclosky</dc:creator><description><![CDATA["With a simple 20-line change to how A/B testing works, that you can implement today, you can always do better than A/B testing -- sometimes, two or three times better."]]></description>
<dc:subject>statistics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amcclosky/b:e777001d3321/</dc:identifier>
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<item rdf:about="http://otexts.com/fpp/">
    <title>Forecasting: principles and practice | An online textbook by Rob J Hyndman and George Athanasopoulos</title>
    <dc:date>2012-05-23T14:09:26+00:00</dc:date>
    <link>http://otexts.com/fpp/</link>
    <dc:creator>amcclosky</dc:creator><description><![CDATA["This text­book is intended to pro­vide a com­pre­hen­sive intro­duc­tion to fore­cast­ing meth­ods and present enough infor­ma­tion about each method for read­ers to use them sen­si­bly."]]></description>
<dc:subject>statistics business</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amcclosky/b:db883046f7e0/</dc:identifier>
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    <title>d3.js</title>
    <dc:date>2011-11-05T21:35:52+00:00</dc:date>
    <link>http://mbostock.github.com/d3/</link>
    <dc:creator>amcclosky</dc:creator><description><![CDATA[D3 allows you to bind arbitrary data to a Document Object Model (DOM), and then apply data-driven transformations to the document. As a trivial example, you can use D3 to generate a basic HTML table from an array of numbers. Or, use the same data to create an interactive SVG bar chart with smooth transitions and interaction.]]></description>
<dc:subject>javascript statistics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amcclosky/b:94d7e80e269f/</dc:identifier>
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<item rdf:about="http://aliquote.org/memos/2011/02/07/python-for-statistical-computing">
    <title>www.aliquote.org: Python for statistical computing</title>
    <dc:date>2011-09-29T15:30:44+00:00</dc:date>
    <link>http://aliquote.org/memos/2011/02/07/python-for-statistical-computing</link>
    <dc:creator>amcclosky</dc:creator><description><![CDATA["Pursuant on my previous post on the use of Lisp for statistical computing, here are some links for statistics with Python"]]></description>
<dc:subject>python statistics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amcclosky/b:81b6773a4e1b/</dc:identifier>
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<item rdf:about="http://greenteapress.com/thinkstats/html/thinkstats001.html">
    <title>Think Stats: Probability and Statistics for Programmers</title>
    <dc:date>2011-08-28T17:31:37+00:00</dc:date>
    <link>http://greenteapress.com/thinkstats/html/thinkstats001.html</link>
    <dc:creator>amcclosky</dc:creator><description><![CDATA["Think Stats: Probability and Statistics for Programmers is a textbook for a new kind of introductory prob-stat class. It emphasizes the use of statistics to explore large datasets. It takes a computational approach..."]]></description>
<dc:subject>statistics books</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amcclosky/b:b594e09aff58/</dc:identifier>
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