<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>网站数据分析 &#187; 比较分析</title>
	<atom:link href="http://webdataanalysis.net/tag/comparative-analysis/feed/" rel="self" type="application/rss+xml" />
	<link>http://webdataanalysis.net</link>
	<description>通过网站分析与数据分析实现网站优化</description>
	<lastBuildDate>Sat, 07 Nov 2015 08:05:20 +0000</lastBuildDate>
	<language>zh-CN</language>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
	<generator>http://wordpress.org/?v=3.5.1</generator>
		<item>
		<title>Google Website Optimizer报告解读</title>
		<link>http://webdataanalysis.net/tool-for-web-analytics/gwo-report/</link>
		<comments>http://webdataanalysis.net/tool-for-web-analytics/gwo-report/#comments</comments>
		<pubDate>Wed, 11 Jul 2012 16:53:13 +0000</pubDate>
		<dc:creator>joegh</dc:creator>
				<category><![CDATA[网站分析工具]]></category>
		<category><![CDATA[比较分析]]></category>
		<category><![CDATA[统计学]]></category>
		<category><![CDATA[转化率]]></category>

		<guid isPermaLink="false">http://webdataanalysis.net/?p=1219</guid>
		<description><![CDATA[　　前段时间用博客的几个测试页面尝试了下使用Google Website Optimizer做A/B测试，经过 [...]]]></description>
		<wfw:commentRss>http://webdataanalysis.net/tool-for-web-analytics/gwo-report/feed/</wfw:commentRss>
		<slash:comments>7</slash:comments>
		</item>
		<item>
		<title>不得不考虑的时间因素</title>
		<link>http://webdataanalysis.net/personal-view/avoid-the-trap-of-time/</link>
		<comments>http://webdataanalysis.net/personal-view/avoid-the-trap-of-time/#comments</comments>
		<pubDate>Tue, 28 Feb 2012 13:53:43 +0000</pubDate>
		<dc:creator>joegh</dc:creator>
				<category><![CDATA[个人观点分享]]></category>
		<category><![CDATA[比较分析]]></category>
		<category><![CDATA[用户分析]]></category>

		<guid isPermaLink="false">http://webdataanalysis.net/?p=1101</guid>
		<description><![CDATA[　　在网站数据分析中，时间是最常见也是最不可或缺的维度之一，大部分情况下用于限定指标统计的范围和粒度，同时时间 [...]]]></description>
		<wfw:commentRss>http://webdataanalysis.net/personal-view/avoid-the-trap-of-time/feed/</wfw:commentRss>
		<slash:comments>16</slash:comments>
		</item>
		<item>
		<title>基于用户细分的比较分析</title>
		<link>http://webdataanalysis.net/web-quantitative-analysis/user-segment-and-comparison/</link>
		<comments>http://webdataanalysis.net/web-quantitative-analysis/user-segment-and-comparison/#comments</comments>
		<pubDate>Thu, 08 Dec 2011 06:47:27 +0000</pubDate>
		<dc:creator>joegh</dc:creator>
				<category><![CDATA[网站定量分析]]></category>
		<category><![CDATA[比较分析]]></category>
		<category><![CDATA[用户分析]]></category>
		<category><![CDATA[电子商务]]></category>
		<category><![CDATA[细分]]></category>

		<guid isPermaLink="false">http://webdataanalysis.net/?p=1067</guid>
		<description><![CDATA[　　从网站的用户层面，我们根据用户访问的行为特征将用户细分成各种类型，因为用户行为各异，行为统计指标各异，分析 [...]]]></description>
		<wfw:commentRss>http://webdataanalysis.net/web-quantitative-analysis/user-segment-and-comparison/feed/</wfw:commentRss>
		<slash:comments>22</slash:comments>
		</item>
		<item>
		<title>比较测试的设定和分析</title>
		<link>http://webdataanalysis.net/web-quantitative-analysis/comparative-testing/</link>
		<comments>http://webdataanalysis.net/web-quantitative-analysis/comparative-testing/#comments</comments>
		<pubDate>Sun, 14 Aug 2011 13:35:48 +0000</pubDate>
		<dc:creator>joegh</dc:creator>
				<category><![CDATA[网站定量分析]]></category>
		<category><![CDATA[比较分析]]></category>
		<category><![CDATA[统计学]]></category>

		<guid isPermaLink="false">http://webdataanalysis.net/?p=1028</guid>
		<description><![CDATA[——数据的上下文5 　　基于前一篇文章——T检验和卡方检验中提出的数据比较方法，其实我们在生物或者化学的实验中 [...]]]></description>
		<wfw:commentRss>http://webdataanalysis.net/web-quantitative-analysis/comparative-testing/feed/</wfw:commentRss>
		<slash:comments>24</slash:comments>
		</item>
		<item>
		<title>T检验和卡方检验</title>
		<link>http://webdataanalysis.net/data-analysis-method/t-test-and-chi-square-test/</link>
		<comments>http://webdataanalysis.net/data-analysis-method/t-test-and-chi-square-test/#comments</comments>
		<pubDate>Wed, 27 Jul 2011 13:33:34 +0000</pubDate>
		<dc:creator>joegh</dc:creator>
				<category><![CDATA[数据分析方法]]></category>
		<category><![CDATA[比较分析]]></category>
		<category><![CDATA[统计学]]></category>

		<guid isPermaLink="false">http://webdataanalysis.net/?p=1021</guid>
		<description><![CDATA[　　好久没有更新博客了，今天更新一篇关于数据分析方法的文章，主要是基于统计学的假设检验的原理，无论是T检验还是 [...]]]></description>
		<wfw:commentRss>http://webdataanalysis.net/data-analysis-method/t-test-and-chi-square-test/feed/</wfw:commentRss>
		<slash:comments>32</slash:comments>
		</item>
		<item>
		<title>合并和比较度量</title>
		<link>http://webdataanalysis.net/reference-and-source/combined-and-comparative-metrics/</link>
		<comments>http://webdataanalysis.net/reference-and-source/combined-and-comparative-metrics/#comments</comments>
		<pubDate>Tue, 28 Jun 2011 13:34:53 +0000</pubDate>
		<dc:creator>joegh</dc:creator>
				<category><![CDATA[参考资料整理]]></category>
		<category><![CDATA[Bounce-Rate]]></category>
		<category><![CDATA[数据标准化]]></category>
		<category><![CDATA[比较分析]]></category>

		<guid isPermaLink="false">http://webdataanalysis.net/?p=1015</guid>
		<description><![CDATA[——数据的上下文4 　　往往我们在做分析的时候需要结合各类基本的指标进行二次计算合并得到一个可以用于进行综合评 [...]]]></description>
		<wfw:commentRss>http://webdataanalysis.net/reference-and-source/combined-and-comparative-metrics/feed/</wfw:commentRss>
		<slash:comments>8</slash:comments>
		</item>
		<item>
		<title>提升用户满意度</title>
		<link>http://webdataanalysis.net/web-quantitative-analysis/improve-customer-satisfaction/</link>
		<comments>http://webdataanalysis.net/web-quantitative-analysis/improve-customer-satisfaction/#comments</comments>
		<pubDate>Tue, 13 Jul 2010 13:30:56 +0000</pubDate>
		<dc:creator>joegh</dc:creator>
				<category><![CDATA[网站定量分析]]></category>
		<category><![CDATA[比较分析]]></category>
		<category><![CDATA[用户体验]]></category>
		<category><![CDATA[统计学]]></category>

		<guid isPermaLink="false">http://webdataanalysis.net/?p=711</guid>
		<description><![CDATA[——让用户更容易地找到需要的信息5 　　在前一篇文章——用户任务完成度分析中我似乎遗漏了一个重要的问题：为什么 [...]]]></description>
		<wfw:commentRss>http://webdataanalysis.net/web-quantitative-analysis/improve-customer-satisfaction/feed/</wfw:commentRss>
		<slash:comments>9</slash:comments>
		</item>
		<item>
		<title>Abandonment Rate的影响因素</title>
		<link>http://webdataanalysis.net/web-quantitative-analysis/factor-of-abandonment-rate/</link>
		<comments>http://webdataanalysis.net/web-quantitative-analysis/factor-of-abandonment-rate/#comments</comments>
		<pubDate>Tue, 09 Mar 2010 13:39:14 +0000</pubDate>
		<dc:creator>joegh</dc:creator>
				<category><![CDATA[网站定量分析]]></category>
		<category><![CDATA[Abandonment-Rate]]></category>
		<category><![CDATA[比较分析]]></category>
		<category><![CDATA[电子商务]]></category>
		<category><![CDATA[统计学]]></category>

		<guid isPermaLink="false">http://webdataanalysis.net/?p=248</guid>
		<description><![CDATA[　　前几天看到了Sidney写的一篇文章——电子商务(B2C)网站的Abandonment Rate，里面详细 [...]]]></description>
		<wfw:commentRss>http://webdataanalysis.net/web-quantitative-analysis/factor-of-abandonment-rate/feed/</wfw:commentRss>
		<slash:comments>17</slash:comments>
		</item>
	</channel>
</rss>
