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		<id>http://robowiki.net/w/index.php?title=Thread:Talk:Darkcanuck/RRServer/Ratings/Outlier_resistant_APS_system/reply_(5)&amp;diff=23591&amp;oldid=prev</id>
		<title>Rednaxela: Reply to Outlier resistant APS system</title>
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		<updated>2012-02-16T18:33:47Z</updated>

		<summary type="html">&lt;p&gt;Reply to &lt;a href=&quot;/wiki/Thread:Talk:Darkcanuck/RRServer/Ratings/Outlier_resistant_APS_system/reply_(3)&quot; title=&quot;Thread:Talk:Darkcanuck/RRServer/Ratings/Outlier resistant APS system/reply (3)&quot;&gt;Outlier resistant APS system&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;About the skewed distributions, fair enough. I still am concerned about the greater noise of medians though.&lt;br /&gt;
&lt;br /&gt;
The more sophisticated method that was coming to my mind, was calculating the [[wikipedia:Standard score|z-score]] of each sample per pairing, tossing out results that have too extreme of a z-score value, and using the mean of the remaining samples. The reason this appeals to me, is because it changes the existing scoring system as little as possible.&lt;br /&gt;
&lt;br /&gt;
Most bad results we see are near-zero scores which should be quite distinctly detected by a z-score test, so reliably tossing them out without changing the overall scoring system would be quite doable I think.&lt;/div&gt;</summary>
		<author><name>Rednaxela</name></author>
		
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