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	<title>Comments on: Thurs Mar 29</title>
	<atom:link href="http://www.stat.cmu.edu/~kass/smnp/?feed=rss2&#038;p=112" rel="self" type="application/rss+xml" />
	<link>http://www.stat.cmu.edu/~kass/smnp/?p=112</link>
	<description></description>
	<lastBuildDate>Thu, 26 Apr 2012 14:07:02 +0000</lastBuildDate>
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		<title>By: Scott Kennedy</title>
		<link>http://www.stat.cmu.edu/~kass/smnp/?p=112#comment-255</link>
		<dc:creator>Scott Kennedy</dc:creator>
		<pubDate>Thu, 29 Mar 2012 13:29:07 +0000</pubDate>
		<guid isPermaLink="false">http://www.stat.cmu.edu/~kass/smnp/?p=112#comment-255</guid>
		<description>The details of the rank-sum test are still a little hazy to me. Can we go over it in class?</description>
		<content:encoded><![CDATA[<p>The details of the rank-sum test are still a little hazy to me. Can we go over it in class?</p>
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	<item>
		<title>By: Rex Tien</title>
		<link>http://www.stat.cmu.edu/~kass/smnp/?p=112#comment-254</link>
		<dc:creator>Rex Tien</dc:creator>
		<pubDate>Thu, 29 Mar 2012 13:20:53 +0000</pubDate>
		<guid isPermaLink="false">http://www.stat.cmu.edu/~kass/smnp/?p=112#comment-254</guid>
		<description>I don&#039;t quite get the intuitive leap from ANOVA interactions to the multiplication of x1 and x2 in the linear regression case. Is x1*x2 just a special case? Can we look at other combinations of x1 and x2?

Is there a form of rank-based ANOVA that preserves information about the absolute differences between consecutive ranks? Or is it really not that important? What assumptions, if any, are necessary for rank-based procedures?</description>
		<content:encoded><![CDATA[<p>I don&#8217;t quite get the intuitive leap from ANOVA interactions to the multiplication of x1 and x2 in the linear regression case. Is x1*x2 just a special case? Can we look at other combinations of x1 and x2?</p>
<p>Is there a form of rank-based ANOVA that preserves information about the absolute differences between consecutive ranks? Or is it really not that important? What assumptions, if any, are necessary for rank-based procedures?</p>
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		<title>By: Rob Rasmussen</title>
		<link>http://www.stat.cmu.edu/~kass/smnp/?p=112#comment-253</link>
		<dc:creator>Rob Rasmussen</dc:creator>
		<pubDate>Thu, 29 Mar 2012 13:12:25 +0000</pubDate>
		<guid isPermaLink="false">http://www.stat.cmu.edu/~kass/smnp/?p=112#comment-253</guid>
		<description>What are the main drawbacks to the rank-sum test? It seems to help minimize the effects of what appear as outliers but it seems like it could be hiding potentially important data.</description>
		<content:encoded><![CDATA[<p>What are the main drawbacks to the rank-sum test? It seems to help minimize the effects of what appear as outliers but it seems like it could be hiding potentially important data.</p>
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		<title>By: Amanda Markey</title>
		<link>http://www.stat.cmu.edu/~kass/smnp/?p=112#comment-252</link>
		<dc:creator>Amanda Markey</dc:creator>
		<pubDate>Thu, 29 Mar 2012 12:51:47 +0000</pubDate>
		<guid isPermaLink="false">http://www.stat.cmu.edu/~kass/smnp/?p=112#comment-252</guid>
		<description>Is there a difference in models between 2-way between subjects (where there is still only 1 subject per condition) and 2-way within subjects (where one subject experiences all conditions)?</description>
		<content:encoded><![CDATA[<p>Is there a difference in models between 2-way between subjects (where there is still only 1 subject per condition) and 2-way within subjects (where one subject experiences all conditions)?</p>
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	<item>
		<title>By: Yijuan Du</title>
		<link>http://www.stat.cmu.edu/~kass/smnp/?p=112#comment-251</link>
		<dc:creator>Yijuan Du</dc:creator>
		<pubDate>Thu, 29 Mar 2012 12:00:04 +0000</pubDate>
		<guid isPermaLink="false">http://www.stat.cmu.edu/~kass/smnp/?p=112#comment-251</guid>
		<description>In 13.4, the usual F test on log trasformed data and rank based  test have similar results. Do they usually show similar results? Should we consider transformation before using the rank test? 

For rank based procedure and permutation/ bootstrap, is there a preference choosing one over another under some conditions?</description>
		<content:encoded><![CDATA[<p>In 13.4, the usual F test on log trasformed data and rank based  test have similar results. Do they usually show similar results? Should we consider transformation before using the rank test? </p>
<p>For rank based procedure and permutation/ bootstrap, is there a preference choosing one over another under some conditions?</p>
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	</item>
	<item>
		<title>By: Shubham Debnath</title>
		<link>http://www.stat.cmu.edu/~kass/smnp/?p=112#comment-250</link>
		<dc:creator>Shubham Debnath</dc:creator>
		<pubDate>Thu, 29 Mar 2012 11:38:36 +0000</pubDate>
		<guid isPermaLink="false">http://www.stat.cmu.edu/~kass/smnp/?p=112#comment-250</guid>
		<description>Can you provide some more detail on the Kruskal-Wallis Test?</description>
		<content:encoded><![CDATA[<p>Can you provide some more detail on the Kruskal-Wallis Test?</p>
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		<title>By: Matt Panico</title>
		<link>http://www.stat.cmu.edu/~kass/smnp/?p=112#comment-249</link>
		<dc:creator>Matt Panico</dc:creator>
		<pubDate>Thu, 29 Mar 2012 09:22:15 +0000</pubDate>
		<guid isPermaLink="false">http://www.stat.cmu.edu/~kass/smnp/?p=112#comment-249</guid>
		<description>You mention a couple options for matrices of indicator variables. Is one generally preferable to the other?</description>
		<content:encoded><![CDATA[<p>You mention a couple options for matrices of indicator variables. Is one generally preferable to the other?</p>
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	</item>
	<item>
		<title>By: David Zhou</title>
		<link>http://www.stat.cmu.edu/~kass/smnp/?p=112#comment-248</link>
		<dc:creator>David Zhou</dc:creator>
		<pubDate>Thu, 29 Mar 2012 09:04:51 +0000</pubDate>
		<guid isPermaLink="false">http://www.stat.cmu.edu/~kass/smnp/?p=112#comment-248</guid>
		<description>You write that the procedures of non-parametric ANOVA methods continue to make the assumptions of additivity and independence of errors. How do these assumptions limit what can be said about non-parametric ANOVA?</description>
		<content:encoded><![CDATA[<p>You write that the procedures of non-parametric ANOVA methods continue to make the assumptions of additivity and independence of errors. How do these assumptions limit what can be said about non-parametric ANOVA?</p>
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		<title>By: Jay Scott</title>
		<link>http://www.stat.cmu.edu/~kass/smnp/?p=112#comment-247</link>
		<dc:creator>Jay Scott</dc:creator>
		<pubDate>Thu, 29 Mar 2012 04:04:45 +0000</pubDate>
		<guid isPermaLink="false">http://www.stat.cmu.edu/~kass/smnp/?p=112#comment-247</guid>
		<description>sec 13.2.1:  Is the notation X^T the trace of matrix X?  How does that work when X is an nx1 vector of 1s?  I am having difficulty with the notation on this page (421).</description>
		<content:encoded><![CDATA[<p>sec 13.2.1:  Is the notation X^T the trace of matrix X?  How does that work when X is an nx1 vector of 1s?  I am having difficulty with the notation on this page (421).</p>
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	</item>
	<item>
		<title>By: Noah</title>
		<link>http://www.stat.cmu.edu/~kass/smnp/?p=112#comment-246</link>
		<dc:creator>Noah</dc:creator>
		<pubDate>Thu, 29 Mar 2012 03:59:37 +0000</pubDate>
		<guid isPermaLink="false">http://www.stat.cmu.edu/~kass/smnp/?p=112#comment-246</guid>
		<description>After replacing distribution-free data by ranks to perform the rank-based ANOVA, can multiple comparison test be used (with the rankings) as they were for the parametric ANOVA.</description>
		<content:encoded><![CDATA[<p>After replacing distribution-free data by ranks to perform the rank-based ANOVA, can multiple comparison test be used (with the rankings) as they were for the parametric ANOVA.</p>
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