<rss xmlns:atom="http://www.w3.org/2005/Atom" version="2.0">
    <channel>
        <title>非寿险 - 标签 - wilajeni&#39;s blog | learn, build, share</title>
        <link>https://wilajeni.github.io/zh-cn/tags/%E9%9D%9E%E5%AF%BF%E9%99%A9/</link>
        <description>非寿险 - 标签 - wilajeni&#39;s blog | learn, build, share</description>
        <generator>Hugo -- gohugo.io</generator><language>zh-CN</language><lastBuildDate>Mon, 03 Jul 2023 00:00:00 &#43;0000</lastBuildDate><atom:link href="https://wilajeni.github.io/zh-cn/tags/%E9%9D%9E%E5%AF%BF%E9%99%A9/" rel="self" type="application/rss+xml" /><item>
    <title>GLM基础（一）：广义线性模型原理</title>
    <link>https://wilajeni.github.io/zh-cn/posts/glm-1.html/</link>
    <pubDate>Mon, 03 Jul 2023 00:00:00 &#43;0000</pubDate>
    <author>wilajeni</author>
    <guid>https://wilajeni.github.io/zh-cn/posts/glm-1.html/</guid>
    <description><![CDATA[简单总结广义线性模型基础理论。]]></description>
</item>
<item>
    <title>GLM基础（四）：SAS计算车险纯保费示例</title>
    <link>https://wilajeni.github.io/zh-cn/posts/glm-4.html/</link>
    <pubDate>Mon, 29 May 2023 00:00:00 &#43;0000</pubDate>
    <author>wilajeni</author>
    <guid>https://wilajeni.github.io/zh-cn/posts/glm-4.html/</guid>
    <description><![CDATA[以一组仅有4个自变量的数据作为示例拟合GLM计算车险纯保费。]]></description>
</item>
<item>
    <title>GLM基础（三）：R和SAS建模对比</title>
    <link>https://wilajeni.github.io/zh-cn/posts/glm-3.html/</link>
    <pubDate>Thu, 25 May 2023 00:00:00 &#43;0000</pubDate>
    <author>wilajeni</author>
    <guid>https://wilajeni.github.io/zh-cn/posts/glm-3.html/</guid>
    <description><![CDATA[对比SAS的proc genmod和R的glm()函数，构建GLM模型。]]></description>
</item>
</channel>
</rss>
