<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>统计学 on Blog</title><link>https://icelemon.top/tags/%E7%BB%9F%E8%AE%A1%E5%AD%A6/</link><description>Recent content in 统计学 on Blog</description><generator>Hugo</generator><language>zh-CN</language><lastBuildDate>Mon, 19 Oct 2026 00:00:00 +0800</lastBuildDate><atom:link href="https://icelemon.top/tags/%E7%BB%9F%E8%AE%A1%E5%AD%A6/index.xml" rel="self" type="application/rss+xml"/><item><title>奥卡姆剃刀：少加假设，也要接受检验</title><link>https://icelemon.top/knowledge/occams-razor-and-overfitting/</link><pubDate>Mon, 19 Oct 2026 00:00:00 +0800</pubDate><guid>https://icelemon.top/knowledge/occams-razor-and-overfitting/</guid><description>从一串猜测到一条拟合曲线，简约的价值在于减少没有证据支撑的自由度。</description></item><item><title>德国坦克问题：从几个编号估计看不见的总数</title><link>https://icelemon.top/knowledge/german-tank-problem/</link><pubDate>Mon, 19 Oct 2026 00:00:00 +0800</pubDate><guid>https://icelemon.top/knowledge/german-tank-problem/</guid><description>最大编号提供一个下限，抽样模型帮助估计下限之外还藏着多少。</description></item><item><title>幸存者偏差：长寿个例为什么不能代表总体</title><link>https://icelemon.top/knowledge/survivorship-bias/</link><pubDate>Mon, 19 Oct 2026 00:00:00 +0800</pubDate><guid>https://icelemon.top/knowledge/survivorship-bias/</guid><description>看见了谁，也要追问哪些人已经离开了可见的样本。</description></item></channel></rss>