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	<title>Comments on: Unbiased estimators can be terrible</title>
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	<description>The blog of John D. Cook</description>
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		<title>By: John</title>
		<link>http://www.johndcook.com/blog/2008/01/12/unbiased-estimators-can-be-terrible/comment-page-1/#comment-130204</link>
		<dc:creator>John</dc:creator>
		<pubDate>Fri, 13 Jan 2012 20:27:59 +0000</pubDate>
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		<description>Dean: I agree that sentence was sloppy. If you base your guess on more and more data, that&#039;s consistency. If you take the average of more and more guesses, each based on a a fixed amount of data, that&#039;s unbiasedness.</description>
		<content:encoded><![CDATA[<p>Dean: I agree that sentence was sloppy. If you base your guess on more and more data, that&#8217;s consistency. If you take the average of more and more guesses, each based on a a fixed amount of data, that&#8217;s unbiasedness.</p>
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		<title>By: Dean Eckles</title>
		<link>http://www.johndcook.com/blog/2008/01/12/unbiased-estimators-can-be-terrible/comment-page-1/#comment-130199</link>
		<dc:creator>Dean Eckles</dc:creator>
		<pubDate>Fri, 13 Jan 2012 20:12:45 +0000</pubDate>
		<guid isPermaLink="false">http://www.johndcook.com/blog/2008/01/12/unbiased-estimators-can-be-terrible/#comment-130199</guid>
		<description>&quot;An estimator is unbiased if over the long run, your guesses converge to the thing you’re estimating.&quot;
Sounds more like you are defining consistency than unbiasedness.</description>
		<content:encoded><![CDATA[<p>&#8220;An estimator is unbiased if over the long run, your guesses converge to the thing you’re estimating.&#8221;<br />
Sounds more like you are defining consistency than unbiasedness.</p>
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