<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Poisson Distribution on gdpark.blog</title><link>https://gdpark.blog/tags/poisson-distribution/</link><description>Recent content in Poisson Distribution on gdpark.blog</description><generator>Hugo</generator><language>en</language><lastBuildDate>Wed, 15 Nov 2017 00:00:00 +0000</lastBuildDate><atom:link href="https://gdpark.blog/tags/poisson-distribution/index.xml" rel="self" type="application/rss+xml"/><item><title>Derivation of the Poisson Distribution [Basic Statistics I Studied #2]</title><link>https://gdpark.blog/posts/statistics-02-derivation-of-the-poisson-distribution/</link><pubDate>Tue, 14 Nov 2017 00:00:00 +0000</pubDate><guid>https://gdpark.blog/posts/statistics-02-derivation-of-the-poisson-distribution/</guid><description>We kick off the distributions series by deriving the Poisson from scratch — starting with the binomial and cranking n to infinity to see what shakes out.</description></item><item><title>Derivation of the Exponential Distribution [Basic Statistics I Studied #3]</title><link>https://gdpark.blog/posts/statistics-03-derivation-of-the-exponential-distribution/</link><pubDate>Wed, 15 Nov 2017 00:00:00 +0000</pubDate><guid>https://gdpark.blog/posts/statistics-03-derivation-of-the-exponential-distribution/</guid><description>We skip the normal distribution to derive the exponential distribution — aka the waiting time until the first event — straight from the Poisson!</description></item></channel></rss>