blocks|key|4992145|text|NAverage就是我过去用过的一种动态链接库。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4992146|你可以查一下...|4992147|http://www.mycsharp.de/wbb2/thread.php?threadid=85839|offset|length|4992148|或者从这里..|4992149|http://naverage.codeplex.com/|4992150|如果有帮助，请告诉我|4992151|entityMap|0|LINK|mutability|MUTABLE|url|1^0|0|0|0|1H|0|0|0|0|T|1|0|0^^$0|@$1|2|3|4|5|6|7|V|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|W|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|X|8|@]|9|@$F|Y|G|Z|1|10]]|A|$]]|$1|H|3|I|5|6|7|11|8|@]|9|@]|A|$]]|$1|J|3|K|5|6|7|12|8|@]|9|@$F|13|G|14|1|15]]|A|$]]|$1|L|3|M|5|6|7|16|8|@]|9|@]|A|$]]|$1|N|3|-4|5|6|7|17|8|@]|9|@]|A|$]]]|O|$P|$5|Q|R|S|A|$T|E]]|U|$5|Q|R|S|A|$T|K]]]]

NAverage is one such dll i have used in the past.

You can check it ...

<a href="http://www.mycsharp.de/wbb2/thread.php?threadid=85839" rel="nofollow">http://www.mycsharp.de/wbb2/thread.php?threadid=85839</a>

or from here ..

<a href="http://naverage.codeplex.com/" rel="nofollow">http://naverage.codeplex.com/</a>

Let me know if that helps

blocks|key|2012634|text|您可能会对infer.net+http://www.justinlee.sg/2009/12/09/infer-net-now-with-f-support/感兴趣|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|2012635|"Infer.NET是一种在图形模型中运行贝叶斯推理的框架。您可以使用它来解决许多不同类型的机器学习问题，从分类或聚类等标准问题到自定义解决方案再到特定领域的问题。Infer.NET已被广泛应用于各种领域，包括信息检索、生物信息学、流行病学、视觉和许多其他领域。“|2012636|entityMap|0|LINK|mutability|MUTABLE|url|http://www.justinlee.sg/2009/12/09/infer-net-now-with-f-support/^0|F|1S|0|0|0^^$0|@$1|2|3|4|5|6|7|N|8|@]|9|@$A|O|B|P|1|Q]]|C|$]]|$1|D|3|E|5|6|7|R|8|@]|9|@]|C|$]]|$1|F|3|-4|5|6|7|S|8|@]|9|@]|C|$]]]|G|$H|$5|I|J|K|C|$L|M]]]]

you might be interested in infer.net
<a href="http://www.justinlee.sg/2009/12/09/infer-net-now-with-f-support/" rel="nofollow">http://www.justinlee.sg/2009/12/09/infer-net-now-with-f-support/</a>

"Infer.NET is a framework for running Bayesian inference in graphical models. You can use it to solve many different kinds of machine learning problems, from standard problems like classification or clustering through to customised solutions to domain-specific problems. Infer.NET has been used in a wide variety of domains including information retrieval, bioinformatics, epidemiology, vision, and many others."

blocks|key|4992196|text|我建议你看看Math.NET项目。它支持各种分布，但我不知道它是否有t检验和p值。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|4992197|entityMap|0|LINK|mutability|MUTABLE|url|http://numerics.mathdotnet.com/^0|6|8|0|0^^$0|@$1|2|3|4|5|6|7|L|8|@]|9|@$A|M|B|N|1|O]]|C|$]]|$1|D|3|-4|5|6|7|P|8|@]|9|@]|C|$]]]|E|$F|$5|G|H|I|C|$J|K]]]]

I suggest you look at the <a href="http://numerics.mathdotnet.com/" rel="noreferrer">Math.NET</a> project. It supports various distributions, but I don't know if it has t-tests and p-values.

blocks|key|3392164|text|Meta.Numerics有很多统计功能。它支持t检验(一个样本，两个样本，配对)，以及Mann-Whitney和sign检验(+t-test的非参数替代)，ANOVA+(扩展到两个以上样本的t检验)和Kruskal-Wallis+(ANOVA的非参数替代)。是的，它会报告所有测试的P值。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|3392165|entityMap|0|LINK|mutability|MUTABLE|url|http://www.meta-numerics.net/^0|0|D|0|0^^$0|@$1|2|3|4|5|6|7|L|8|@]|9|@$A|M|B|N|1|O]]|C|$]]|$1|D|3|-4|5|6|7|P|8|@]|9|@]|C|$]]]|E|$F|$5|G|H|I|C|$J|K]]]]

<a href="http://www.meta-numerics.net" rel="nofollow">Meta.Numerics</a> has a lot of statistical functionality. It supports t-tests (one sample, two sample, paired), as well as Mann-Whitney and sign tests (non-parameteric alternatives to t-tests), and ANOVA (a t-test extended to more than two samples) and Kruskal-Wallis (a non-parameteric alternative to the ANOVA). And yes, it reports back a P-value with all tests.

blocks|key|2015430|text|从版本4开始，.NET库就包含了提供T-Test的StatisticFormula类。在命名空间System.Web.UI.DataVisualization.Charting和System.Windows.Forms.DataVisualization.Charting中提供了此类|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|2015431|Link+to+documentation和用法：|2015432|TTestResult+result+=+Chart1.DataManipulator.Statistics.TTestUnEqualVariances(0.2,+0.05,+"Series1",+"Series2");|code-block|syntax|javascript|2015433|entityMap|0|LINK|mutability|MUTABLE|url|http://msdn.microsoft.com/en-us/library/system.web.ui.datavisualization.charting.statisticformula.aspx^0|P|G|1C|14|2H|1B|0|0|L|0|0|0^^$0|@$1|2|3|4|5|6|7|U|8|@$9|V|A|W|B|C]|$9|X|A|Y|B|C]|$9|Z|A|10|B|C]]|D|@]|E|$]]|$1|F|3|G|5|6|7|11|8|@]|D|@$9|12|A|13|1|14]]|E|$]]|$1|H|3|I|5|J|7|15|8|@]|D|@]|E|$K|L]]|$1|M|3|-4|5|6|7|16|8|@]|D|@]|E|$]]]|N|$O|$5|P|Q|R|E|$S|T]]]]

Since version 4 the .NET libraries include the <code>StatisticFormula</code> class which provides T-Tests. This class is available in the namespaces <code>System.Web.UI.DataVisualization.Charting</code> and <code>System.Windows.Forms.DataVisualization.Charting</code>

<a href="http://msdn.microsoft.com/en-us/library/system.web.ui.datavisualization.charting.statisticformula.aspx" rel="nofollow">Link to documentation</a> and usage:

<pre><code>TTestResult result = Chart1.DataManipulator.Statistics.TTestUnEqualVariances(0.2, 0.05, "Series1", "Series2");
</code></pre>

blocks|key|4992303|text|使用accord框架：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4992304|Accord+Framework|offset|length|4992305|entityMap|0|LINK|mutability|MUTABLE|url|http://accord-framework.net/docs/html/T_Accord_Statistics_Testing_TTest.htm^0|0|0|G|0|0^^$0|@$1|2|3|4|5|6|7|N|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|O|8|@]|9|@$D|P|E|Q|1|R]]|A|$]]|$1|F|3|-4|5|6|7|S|8|@]|9|@]|A|$]]]|G|$H|$5|I|J|K|A|$L|M]]]]

Use the accord framework:

<a href="http://accord-framework.net/docs/html/T_Accord_Statistics_Testing_TTest.htm" rel="nofollow noreferrer">Accord Framework</a>

Does anybody know of any good and free statistics libraries for .Net?

I am working on calculating T-Tests, which I have written a formula to calculate, although now I need a formula for the p-value, which is a little more complex, and not being a statistician, has me a little lost.

Is there a .Net Statistics library with T-Tests and p-values?

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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有没有人知道.Net有什么好的免费的统计库？我正在计算T-Test，我已经写了一个公式来计算，尽管现在我需要一个p值的公式，它有点复杂，不是一个统计学家，我有点迷失了。

问是否有包含T-Test和p值的.Net统计库？
EN

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问是否有包含T-Test和p值的.Net统计库？EN