<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[ViewSpecPro的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/ViewSpecPro</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; ViewSpecPro]]></copyright><item><title><![CDATA[MATLAB对数据集进行无放回随机抽样]]></title><link>https://blog.youkuaiyun.com/ViewSpecPro/article/details/137018429</link><guid>https://blog.youkuaiyun.com/ViewSpecPro/article/details/137018429</guid><author>ViewSpecPro</author><pubDate>Mon, 25 Mar 2024 16:41:03 +0800</pubDate><description><![CDATA[MATLAB中随机抽样函数有randperm，randsample和datasample。其中前两个函数在某范围内生成随机数样本，datasample则可以对某数组中的数值进行抽样。]]></description><category></category></item><item><title><![CDATA[MATLAB通过ks检验寻找数据概率分布的最优拟合]]></title><link>https://blog.youkuaiyun.com/ViewSpecPro/article/details/136607889</link><guid>https://blog.youkuaiyun.com/ViewSpecPro/article/details/136607889</guid><author>ViewSpecPro</author><pubDate>Sun, 10 Mar 2024 20:30:35 +0800</pubDate><description><![CDATA[然后分别对原数据及拟合各个函数进行KS检验，选择ks统计量最小的拟合函数作为最优分布，主要代码为：[h,p,kstat,cv]=kstest(data,'CDF',pd);当具有多组数据，且不清楚这些数据是否具有相同分布特征的情况下，如何寻找最优的拟合方式？），将其分别对数据进行拟合，主要代码为pd=fidist(data,'CDF');]]></description><category></category></item></channel></rss>