<?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>中心极限定理 on s-ai-unix's Blog</title><link>https://s-ai-unix.github.io/tags/%E4%B8%AD%E5%BF%83%E6%9E%81%E9%99%90%E5%AE%9A%E7%90%86/</link><description>Recent content in 中心极限定理 on s-ai-unix's Blog</description><generator>Hugo -- 0.161.1</generator><language>zh-cn</language><lastBuildDate>Tue, 03 Feb 2026 08:30:00 +0800</lastBuildDate><atom:link href="https://s-ai-unix.github.io/tags/%E4%B8%AD%E5%BF%83%E6%9E%81%E9%99%90%E5%AE%9A%E7%90%86/index.xml" rel="self" type="application/rss+xml"/><item><title>数理统计重要定理系列：大数定律与中心极限定理的深度解读</title><link>https://s-ai-unix.github.io/posts/2026-02-03-statistical-foundations-law-of-large-numbers-and-central-limit-theorem/</link><pubDate>Tue, 03 Feb 2026 08:30:00 +0800</pubDate><guid>https://s-ai-unix.github.io/posts/2026-02-03-statistical-foundations-law-of-large-numbers-and-central-limit-theorem/</guid><description>系统梳理大数定律和中心极限定理的历史背景、数学推导和实际应用，揭示这两个统计基石如何在随机性与确定性之间架起桥梁</description></item><item><title>概率统计中的常见分布：从二项分布到正态分布的深层之旅</title><link>https://s-ai-unix.github.io/posts/2026-01-24-probability-distributions-guide/</link><pubDate>Sat, 24 Jan 2026 11:42:07 +0800</pubDate><guid>https://s-ai-unix.github.io/posts/2026-01-24-probability-distributions-guide/</guid><description>深入探讨概率统计中的核心分布：二项分布、泊松分布、正态分布和指数分布，从历史背景到数学推导，从几何直观到实际应用，娓娓道来。</description></item></channel></rss>