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	<title>Comments on: Probability distribution parameterizations in SciPy</title>
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		<title>By: Holger</title>
		<link>http://www.johndcook.com/blog/2010/02/03/statistical-distributions-in-scipy/comment-page-1/#comment-32281</link>
		<dc:creator>Holger</dc:creator>
		<pubDate>Thu, 04 Feb 2010 12:50:05 +0000</pubDate>
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		<description>John: that clears it up. Thanks for the clarification.</description>
		<content:encoded><![CDATA[<p>John: that clears it up. Thanks for the clarification.</p>
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		<title>By: John</title>
		<link>http://www.johndcook.com/blog/2010/02/03/statistical-distributions-in-scipy/comment-page-1/#comment-32275</link>
		<dc:creator>John</dc:creator>
		<pubDate>Thu, 04 Feb 2010 12:00:54 +0000</pubDate>
		<guid isPermaLink="false">http://www.johndcook.com/blog/?p=4408#comment-32275</guid>
		<description>Holger: If you write the exponential PDF as exp(-x/mu) / mu, mu is the mean and the scale. I suppose what&#039;s confusing is that for the exponential, the mean is also the standard deviation.</description>
		<content:encoded><![CDATA[<p>Holger: If you write the exponential PDF as exp(-x/mu) / mu, mu is the mean and the scale. I suppose what&#8217;s confusing is that for the exponential, the mean is also the standard deviation.</p>
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		<title>By: Holger</title>
		<link>http://www.johndcook.com/blog/2010/02/03/statistical-distributions-in-scipy/comment-page-1/#comment-32260</link>
		<dc:creator>Holger</dc:creator>
		<pubDate>Thu, 04 Feb 2010 08:31:26 +0000</pubDate>
		<guid isPermaLink="false">http://www.johndcook.com/blog/?p=4408#comment-32260</guid>
		<description>I think there is a small typo in your first paragraph: to my understanding the mean is the location, not the scale of every exponential family. At least it is so for the gaussian.  The scale corresponds to the variance.</description>
		<content:encoded><![CDATA[<p>I think there is a small typo in your first paragraph: to my understanding the mean is the location, not the scale of every exponential family. At least it is so for the gaussian.  The scale corresponds to the variance.</p>
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		<title>By: Brent Woodruff</title>
		<link>http://www.johndcook.com/blog/2010/02/03/statistical-distributions-in-scipy/comment-page-1/#comment-32215</link>
		<dc:creator>Brent Woodruff</dc:creator>
		<pubDate>Wed, 03 Feb 2010 21:12:09 +0000</pubDate>
		<guid isPermaLink="false">http://www.johndcook.com/blog/?p=4408#comment-32215</guid>
		<description>Gotta agree with you here that it&#039;s an unconventional approach. It wouldn&#039;t be so bad if someone would do a page like the &lt;a href=&quot;http://www.scipy.org/NumPy_for_Matlab_Users&quot; rel=&quot;nofollow&quot;&gt;NumPy for Matlab Users&lt;/a&gt; page, but make it &quot;SciPy for R and Matlab users&quot;.

I would actually love to see someone do this. It&#039;d be pinned up at my desk in no time and would no doubt save me from reading help() all day.</description>
		<content:encoded><![CDATA[<p>Gotta agree with you here that it&#8217;s an unconventional approach. It wouldn&#8217;t be so bad if someone would do a page like the <a href="http://www.scipy.org/NumPy_for_Matlab_Users" rel="nofollow">NumPy for Matlab Users</a> page, but make it &#8220;SciPy for R and Matlab users&#8221;.</p>
<p>I would actually love to see someone do this. It&#8217;d be pinned up at my desk in no time and would no doubt save me from reading help() all day.</p>
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