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	<title>Comments on: Using Deserved Run Average</title>
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	<link>http://milwaukee.locals.baseballprospectus.com/2018/05/01/using-deserved-run-average/</link>
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		<title>By: Nicholas Zettel</title>
		<link>http://milwaukee.locals.baseballprospectus.com/2018/05/01/using-deserved-run-average/#comment-23999</link>
		<dc:creator><![CDATA[Nicholas Zettel]]></dc:creator>
		<pubDate>Fri, 04 May 2018 10:04:35 +0000</pubDate>
		<guid isPermaLink="false">http://milwaukee.locals.baseballprospectus.com/?p=11609#comment-23999</guid>
		<description><![CDATA[This is a really good question. I&#039;m going to look into this.]]></description>
		<content:encoded><![CDATA[<p>This is a really good question. I&#8217;m going to look into this.</p>
]]></content:encoded>
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		<title>By: Philip Schumacher</title>
		<link>http://milwaukee.locals.baseballprospectus.com/2018/05/01/using-deserved-run-average/#comment-23979</link>
		<dc:creator><![CDATA[Philip Schumacher]]></dc:creator>
		<pubDate>Wed, 02 May 2018 21:11:23 +0000</pubDate>
		<guid isPermaLink="false">http://milwaukee.locals.baseballprospectus.com/?p=11609#comment-23979</guid>
		<description><![CDATA[I have a question about how standard deviation is used.  In the table above, it appears that the estimated DRA is assumed to have a normal distribution and that there is no skewness to the data.  However, DRA has a minimum of zero and a maximum of infinity. So as a pitcher&#039;s DRA approaches zero, the distributions of the estimate is likely no longer normal but may be a gamma distribution, for example.  In that case the standard deviation may differ for values to the &quot;left&quot; of the most likely value vs to the &quot;right&quot;. Would it be statically more accurate to assume a non-normal distribution and have the standard deviation differ for DRA?

Thank you for the article and discussion - I think this is a great way to better evaluate players.]]></description>
		<content:encoded><![CDATA[<p>I have a question about how standard deviation is used.  In the table above, it appears that the estimated DRA is assumed to have a normal distribution and that there is no skewness to the data.  However, DRA has a minimum of zero and a maximum of infinity. So as a pitcher&#8217;s DRA approaches zero, the distributions of the estimate is likely no longer normal but may be a gamma distribution, for example.  In that case the standard deviation may differ for values to the &#8220;left&#8221; of the most likely value vs to the &#8220;right&#8221;. Would it be statically more accurate to assume a non-normal distribution and have the standard deviation differ for DRA?</p>
<p>Thank you for the article and discussion &#8211; I think this is a great way to better evaluate players.</p>
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