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	<title>Data Analysis &#038; Simulation</title>
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	<pubDate>Tue, 03 Aug 2010 14:46:51 +0000</pubDate>
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		<title>EasyFit in Academia</title>
		<link>http://mathwave.com/blog/2010/08/03/easyfit-in-academia/</link>
		<comments>http://mathwave.com/blog/2010/08/03/easyfit-in-academia/#comments</comments>
		<pubDate>Tue, 03 Aug 2010 14:16:40 +0000</pubDate>
		<dc:creator>Antony</dc:creator>
		
		<category><![CDATA[EasyFit]]></category>

		<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://mathwave.com/blog/?p=123</guid>
		<description><![CDATA[
Over the last five years, we have been adding new features to EasyFit mostly with business users in mind, but thanks to the nature of the product and the special academic pricing, it has become quite popular among the academic community: a quick search in Google reveals numerous research papers referring to EasyFit, just to [...]]]></description>
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		<item>
		<title>EasyFitXL Is Now Compatible With Excel 2010</title>
		<link>http://mathwave.com/blog/2010/07/12/easyfitxl-is-now-compatible-with-excel-2010/</link>
		<comments>http://mathwave.com/blog/2010/07/12/easyfitxl-is-now-compatible-with-excel-2010/#comments</comments>
		<pubDate>Mon, 12 Jul 2010 12:33:02 +0000</pubDate>
		<dc:creator>Antony</dc:creator>
		
		<category><![CDATA[Announcements]]></category>

		<category><![CDATA[EasyFit]]></category>

		<category><![CDATA[EasyFitXL]]></category>

		<category><![CDATA[Excel]]></category>

		<guid isPermaLink="false">http://mathwave.com/blog/?p=119</guid>
		<description><![CDATA[EasyFitXL - the distribution fitting add-in for Excel - was first introduced with the release of EasyFit 4.0 back in 2007. When designing EasyFitXL, we did a lot of research as to which Excel versions to support. At that time, the latest version of Excel was Excel 2007, which included some new useful features, such [...]]]></description>
		<wfw:commentRss>http://mathwave.com/blog/2010/07/12/easyfitxl-is-now-compatible-with-excel-2010/feed/</wfw:commentRss>
		</item>
		<item>
		<title>Building The International Distributors Network</title>
		<link>http://mathwave.com/blog/2010/06/07/building-the-international-distributors-network/</link>
		<comments>http://mathwave.com/blog/2010/06/07/building-the-international-distributors-network/#comments</comments>
		<pubDate>Mon, 07 Jun 2010 22:37:50 +0000</pubDate>
		<dc:creator>Antony</dc:creator>
		
		<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://mathwave.com/blog/?p=117</guid>
		<description><![CDATA[Over the past five years, we have been selling our distribution fitting software through Plimus Inc. - the U.S. based company responsible for processing credit card orders and sending out the license keys to the customers who purchased our products. What we like about Plimus is that apart from making the ordering process secure and [...]]]></description>
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		</item>
		<item>
		<title>EasyFit 5.3 Released</title>
		<link>http://mathwave.com/blog/2010/01/20/easyfit-53-released/</link>
		<comments>http://mathwave.com/blog/2010/01/20/easyfit-53-released/#comments</comments>
		<pubDate>Wed, 20 Jan 2010 14:03:53 +0000</pubDate>
		<dc:creator>Antony</dc:creator>
		
		<category><![CDATA[Announcements]]></category>

		<category><![CDATA[EasyFit]]></category>

		<category><![CDATA[EasyFitXL]]></category>

		<category><![CDATA[Excel]]></category>

		<guid isPermaLink="false">http://mathwave.com/blog/?p=92</guid>
		<description><![CDATA[Recently a customer has contacted us and noted that the Inverse Cumulative Distribution Function (the Quantile Function) of the Inverse Gaussian distribution implemented in EasyFit works well for lambda=1902.1, mu=41857.0 and P=0.9, but fails for the same lambda &#038; mu and P=0.99. Last week we have released an updated version of EasyFit that fixes the [...]]]></description>
		<wfw:commentRss>http://mathwave.com/blog/2010/01/20/easyfit-53-released/feed/</wfw:commentRss>
		</item>
		<item>
		<title>Simulation &#038; Probabilistic Analysis SDK Released</title>
		<link>http://mathwave.com/blog/2009/12/03/simulation-probabilistic-analysis-sdk-released/</link>
		<comments>http://mathwave.com/blog/2009/12/03/simulation-probabilistic-analysis-sdk-released/#comments</comments>
		<pubDate>Thu, 03 Dec 2009 12:00:11 +0000</pubDate>
		<dc:creator>Antony</dc:creator>
		
		<category><![CDATA[Distributions]]></category>

		<category><![CDATA[Simulation & Probabilistic Analysis SDK]]></category>

		<guid isPermaLink="false">http://mathwave.com/blog/?p=83</guid>
		<description><![CDATA[The beta testing of our new product, the Simulation &#038; Probabilistic Analysis SDK, is now over, and we want to thank our beta testers for their effort and valuable feedback. One of the most exciting things is that during the beta testing phase, we have not detected any bugs in the SDK, indicating the initial [...]]]></description>
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		<item>
		<title>Simulation &#038; Probabilistic Analysis SDK Available for Public Beta Testing</title>
		<link>http://mathwave.com/blog/2009/10/12/simulation-probabilistic-analysis-sdk-available-for-public-beta-testing/</link>
		<comments>http://mathwave.com/blog/2009/10/12/simulation-probabilistic-analysis-sdk-available-for-public-beta-testing/#comments</comments>
		<pubDate>Mon, 12 Oct 2009 22:24:18 +0000</pubDate>
		<dc:creator>Antony</dc:creator>
		
		<category><![CDATA[Announcements]]></category>

		<category><![CDATA[Distributions]]></category>

		<category><![CDATA[Simulation & Probabilistic Analysis SDK]]></category>

		<guid isPermaLink="false">http://mathwave.com/blog/?p=79</guid>
		<description><![CDATA[The new Software Development Kit enabling you to easily add Monte Carlo simulation and distribution analysis features to your applications is now available for public beta testing - please download the free beta version and take a look at the code examples (available in several languages, including C#, VB.NET, C++, and Visual Basic for Applications).
We [...]]]></description>
		<wfw:commentRss>http://mathwave.com/blog/2009/10/12/simulation-probabilistic-analysis-sdk-available-for-public-beta-testing/feed/</wfw:commentRss>
		</item>
		<item>
		<title>Simulation &#038; Probabilistic Analysis SDK Coming Soon - Beta Testers Welcome</title>
		<link>http://mathwave.com/blog/2009/09/09/simulation-probabilistic-analysis-sdk-coming-soon-beta-testers-needed/</link>
		<comments>http://mathwave.com/blog/2009/09/09/simulation-probabilistic-analysis-sdk-coming-soon-beta-testers-needed/#comments</comments>
		<pubDate>Wed, 09 Sep 2009 12:43:22 +0000</pubDate>
		<dc:creator>Antony</dc:creator>
		
		<category><![CDATA[Announcements]]></category>

		<guid isPermaLink="false">http://mathwave.com/blog/?p=69</guid>
		<description><![CDATA[Earlier in December 2008, we announced our plans to create the Software Development Kit that would allow software developers to integrate the simulation and probabilistic analysis functionality of EasyFit into their custom software solutions. Since then, we have been working hard to bring the SDK to market. Despite some delays, we are glad to announce [...]]]></description>
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		<title>New Version of EasyFit Available</title>
		<link>http://mathwave.com/blog/2009/06/01/new-version-of-easyfit-available/</link>
		<comments>http://mathwave.com/blog/2009/06/01/new-version-of-easyfit-available/#comments</comments>
		<pubDate>Mon, 01 Jun 2009 10:32:37 +0000</pubDate>
		<dc:creator>Antony</dc:creator>
		
		<category><![CDATA[Announcements]]></category>

		<category><![CDATA[EasyFit]]></category>

		<guid isPermaLink="false">http://mathwave.com/blog/?p=64</guid>
		<description><![CDATA[We have just released EasyFit Version 5.1 - the update that fixes a bug causing an incorrect calculation of the chi-squared GOF statistic for small sample sizes. To upgrade, uninstall EasyFit 5.0 from your computer, then download and install the latest version.
]]></description>
		<wfw:commentRss>http://mathwave.com/blog/2009/06/01/new-version-of-easyfit-available/feed/</wfw:commentRss>
		</item>
		<item>
		<title>EasyFit Used by NASA to Improve Monte Carlo Risk Simulation Models</title>
		<link>http://mathwave.com/blog/2009/02/10/easyfit-used-by-nasa-to-improve-monte-carlo-risk-simulation-models/</link>
		<comments>http://mathwave.com/blog/2009/02/10/easyfit-used-by-nasa-to-improve-monte-carlo-risk-simulation-models/#comments</comments>
		<pubDate>Tue, 10 Feb 2009 13:53:55 +0000</pubDate>
		<dc:creator>Antony</dc:creator>
		
		<category><![CDATA[Distributions]]></category>

		<category><![CDATA[EasyFit]]></category>

		<category><![CDATA[Risk]]></category>

		<category><![CDATA[distribution fitting]]></category>

		<category><![CDATA[Monte Carlo]]></category>

		<category><![CDATA[NASA]]></category>

		<category><![CDATA[simulation]]></category>

		<guid isPermaLink="false">http://mathwave.com/blog/?p=56</guid>
		<description><![CDATA[On April 17 2005, the Millstone nuclear generating plant in Connecticut shut down when a circuit board monitoring a steam pressure line short-circuited. &#8220;Tin whiskers&#8221; - microscopic growths of the metal from soldering points on a circuit board - were blamed for causing the problem. These whiskers are comprised of nearly pure tin, and are [...]]]></description>
		<wfw:commentRss>http://mathwave.com/blog/2009/02/10/easyfit-used-by-nasa-to-improve-monte-carlo-risk-simulation-models/feed/</wfw:commentRss>
		</item>
		<item>
		<title>Using Distribution Functions in Excel Sheets</title>
		<link>http://mathwave.com/blog/2009/01/13/using-distribution-functions-in-excel-sheets/</link>
		<comments>http://mathwave.com/blog/2009/01/13/using-distribution-functions-in-excel-sheets/#comments</comments>
		<pubDate>Tue, 13 Jan 2009 14:44:38 +0000</pubDate>
		<dc:creator>Antony</dc:creator>
		
		<category><![CDATA[Distributions]]></category>

		<category><![CDATA[EasyFitXL]]></category>

		<category><![CDATA[Excel]]></category>

		<category><![CDATA[CDF]]></category>

		<category><![CDATA[cumulative distribution function]]></category>

		<category><![CDATA[distribution]]></category>

		<category><![CDATA[hazard function]]></category>

		<category><![CDATA[kurtosis]]></category>

		<category><![CDATA[mean]]></category>

		<category><![CDATA[PDF]]></category>

		<category><![CDATA[probability density function]]></category>

		<category><![CDATA[skewness]]></category>

		<category><![CDATA[survival function]]></category>

		<category><![CDATA[variance]]></category>

		<category><![CDATA[workheet functions]]></category>

		<guid isPermaLink="false">http://mathwave.com/blog/?p=50</guid>
		<description><![CDATA[There are many  probability distributions developed by statisticians to model random data of different kinds, ranging from business data, finance data (stock prices) to engineering data (system failures) and environmental data (max. flood flows). While the standard Excel package includes some basic statistical functions, its support for probability distributions is very limited and almost [...]]]></description>
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