<?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>参数估计 on s-ai-unix's Blog</title><link>https://s-ai-unix.github.io/tags/%E5%8F%82%E6%95%B0%E4%BC%B0%E8%AE%A1/</link><description>Recent content in 参数估计 on s-ai-unix's Blog</description><generator>Hugo -- 0.161.1</generator><language>zh-cn</language><lastBuildDate>Tue, 03 Feb 2026 08:16:00 +0800</lastBuildDate><atom:link href="https://s-ai-unix.github.io/tags/%E5%8F%82%E6%95%B0%E4%BC%B0%E8%AE%A1/index.xml" rel="self" type="application/rss+xml"/><item><title>数理统计重要定理系列：Cramér-Rao下界的深刻意义与应用</title><link>https://s-ai-unix.github.io/posts/2026-02-03-cramer-rao-lower-bound/</link><pubDate>Tue, 03 Feb 2026 08:16:00 +0800</pubDate><guid>https://s-ai-unix.github.io/posts/2026-02-03-cramer-rao-lower-bound/</guid><description>系统综述Cramér-Rao下界定理的历史背景、严格推导过程及其在参数估计中的深刻应用，深入浅出地理解估计量方差的理论极限</description></item></channel></rss>