<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>Niche Modeling &#187; Regression</title>
	<atom:link href="http://landshape.org/enm/tag/regression/feed/" rel="self" type="application/rss+xml" />
	<link>http://landshape.org/enm</link>
	<description>The Power of Numeracy</description>
	<lastBuildDate>Wed, 02 May 2012 21:47:38 +0000</lastBuildDate>
	<language>en</language>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
	<generator>http://wordpress.org/?v=3.3.2</generator>
		<item>
		<title>Linear Regression R Squared</title>
		<link>http://landshape.org/enm/linear-regression-r-squared/</link>
		<comments>http://landshape.org/enm/linear-regression-r-squared/#comments</comments>
		<pubDate>Fri, 17 Oct 2008 21:15:41 +0000</pubDate>
		<dc:creator>david stockwell</dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[CSIRO]]></category>
		<category><![CDATA[Regression]]></category>

		<guid isPermaLink="false">http://landshape.org/enm/?p=1039</guid>
		<description><![CDATA[One of the tests of climate models predicting drought in my review of the Drought Exceptional Circumstances Report was the correlation of predicted area under drought with actual observed area under drought. Lazar criticized my inclusion of the R-Squared (r2) coefficient, an issue I didn't follow up at the time. â€¦ correlating model predictions for individual years of exceptional rainfall with observed years of exceptional rainfall! This ignores noise (internal variability in the climate Read more [...]]]></description>
		<wfw:commentRss>http://landshape.org/enm/linear-regression-r-squared/feed/</wfw:commentRss>
		<slash:comments>4</slash:comments>
		</item>
		<item>
		<title>Niche Modeling. Chapter Summary</title>
		<link>http://landshape.org/enm/niche-modeling-chapter-summary/</link>
		<comments>http://landshape.org/enm/niche-modeling-chapter-summary/#comments</comments>
		<pubDate>Tue, 04 Jul 2006 18:45:30 +0000</pubDate>
		<dc:creator>david stockwell</dc:creator>
				<category><![CDATA[All]]></category>
		<category><![CDATA[Climate]]></category>
		<category><![CDATA[Programming]]></category>
		<category><![CDATA[Statistics]]></category>
		<category><![CDATA[Theory]]></category>
		<category><![CDATA[Hockey-stick]]></category>
		<category><![CDATA[Long Term Persistence]]></category>
		<category><![CDATA[Prediction]]></category>
		<category><![CDATA[Regression]]></category>
		<category><![CDATA[Sampling]]></category>

		<guid isPermaLink="false">http://landshape.org/enm/?p=118</guid>
		<description><![CDATA[Here is a summary of the chapters in my upcoming book Niche Modeling to be published by CRC Press. Many of the topics have been introduced as posts on the blog. My deepest thanks to everyone who has commented and so helped in the refinement of ideas, and particularly in providing motivation and focus. Writing a book is a huge task, much of it a slog, and its not over yet. But I hope to get it to the publishers so it will be available at the end of this year. Here is the dustjacket blurb: Through Read more [...]]]></description>
		<wfw:commentRss>http://landshape.org/enm/niche-modeling-chapter-summary/feed/</wfw:commentRss>
		<slash:comments>4</slash:comments>
		</item>
		<item>
		<title>RE of random reconstructions</title>
		<link>http://landshape.org/enm/re-of-random-reconstructions/</link>
		<comments>http://landshape.org/enm/re-of-random-reconstructions/#comments</comments>
		<pubDate>Wed, 15 Mar 2006 19:59:17 +0000</pubDate>
		<dc:creator>david stockwell</dc:creator>
				<category><![CDATA[All]]></category>
		<category><![CDATA[Long Term Persistence]]></category>
		<category><![CDATA[Regression]]></category>

		<guid isPermaLink="false">http://landshape.org/enm/?p=17</guid>
		<description><![CDATA[To follow up on the last post, I have calculated the RE as well as the R2 statsitics for the reconstruction from the random series. The same approach was used, i.e. generate 1000 sequences with LTP, select those with positive slope and R2&#62;0.1, calibrate on linear model, and average. Here is the reconstruction again, with the test and training periods marked with a horizontal dashed line (test period to the left, training to right of temperature values): The table below adds the RE statistic Read more [...]]]></description>
		<wfw:commentRss>http://landshape.org/enm/re-of-random-reconstructions/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
	</channel>
</rss>

