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	<title>Amy Wesolowski - Revision history</title>
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	<updated>2026-04-12T13:57:48Z</updated>
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		<id>https://wiki.santafe.edu/index.php?title=Amy_Wesolowski&amp;diff=37177&amp;oldid=prev</id>
		<title>JGonzales: New page: ===Research Abstract===   Project Title: Parameter Estimation Methods for Specialized Power-Law Distributions Student: Amy Wesolowski Project Mentor: Aaron Clauset  Power-law distributions...</title>
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		<updated>2010-06-15T16:54:21Z</updated>

		<summary type="html">&lt;p&gt;New page: ===Research Abstract===   Project Title: Parameter Estimation Methods for Specialized Power-Law Distributions Student: Amy Wesolowski Project Mentor: Aaron Clauset  Power-law distributions...&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;===Research Abstract===&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Project Title: Parameter Estimation Methods for Specialized Power-Law Distributions&lt;br /&gt;
Student: Amy Wesolowski&lt;br /&gt;
Project Mentor: Aaron Clauset&lt;br /&gt;
&lt;br /&gt;
Power-law distributions occur in many natural and man-made phenomena.  However, methodologies to detect and characterize power-laws in empirical data are notoriously complicated.  Recently, Clauset, Shalizi, and Newman combined maximum-likelihood methods, Kolmogorov-Smirnov statistics, and likelihood ratios to identify power-law distributions in the tail of a distribution.  We are extending this framework to other power-law distributions including those falling within a finite range and resulting from binned data.&lt;/div&gt;</summary>
		<author><name>JGonzales</name></author>
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