<?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>Ratio-Metrics on Nikita Podlozhniy</title>
    <link>https://npodlozhniy.github.io/tags/ratio-metrics/</link>
    <description>Recent content in Ratio-Metrics on Nikita Podlozhniy</description>
    <generator>Hugo -- gohugo.io</generator>
    <language>en-GB</language>
    <lastBuildDate>Tue, 01 Oct 2024 00:00:00 +0000</lastBuildDate><atom:link href="https://npodlozhniy.github.io/tags/ratio-metrics/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>Linearization: Turning Ratio Metrics into Per-User Metrics</title>
      <link>https://npodlozhniy.github.io/posts/linearization/</link>
      <pubDate>Tue, 01 Oct 2024 00:00:00 +0000</pubDate>
      <guid>https://npodlozhniy.github.io/posts/linearization/</guid>
      <description>A simple algebraic transformation that converts ratio metrics into independent per-user values, making T-tests and sensitivity techniques directly applicable</description>
    </item>
    
    <item>
      <title>Delta Method for Ratio Metrics in AB Testing</title>
      <link>https://npodlozhniy.github.io/posts/delta-method/</link>
      <pubDate>Wed, 31 Jul 2024 00:00:00 +0000</pubDate>
      <guid>https://npodlozhniy.github.io/posts/delta-method/</guid>
      <description>Correct variance estimation for ratio metrics using the Delta Method — and why naive approaches quietly break your confidence intervals</description>
    </item>
    
  </channel>
</rss>
