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	<title>Template:Chi-squared test rsa - Revision history</title>
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	<updated>2026-04-23T08:05:07Z</updated>
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	<entry>
		<id>https://www.reliawiki.com/index.php?title=Template:Chi-squared_test_rsa&amp;diff=33911&amp;oldid=prev</id>
		<title>Richard House: Redirected page to RGA Models for Repairable Systems Analysis#Chi-Squared Test</title>
		<link rel="alternate" type="text/html" href="https://www.reliawiki.com/index.php?title=Template:Chi-squared_test_rsa&amp;diff=33911&amp;oldid=prev"/>
		<updated>2012-08-26T23:53:26Z</updated>

		<summary type="html">&lt;p&gt;Redirected page to &lt;a href=&quot;/index.php/RGA_Models_for_Repairable_Systems_Analysis#Chi-Squared_Test&quot; class=&quot;mw-redirect&quot; title=&quot;RGA Models for Repairable Systems Analysis&quot;&gt;RGA Models for Repairable Systems Analysis#Chi-Squared Test&lt;/a&gt;&lt;/p&gt;
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				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;Revision as of 23:53, 26 August 2012&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l1&quot;&gt;Line 1:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 1:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;−&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;del style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;====&lt;/del&gt;Chi-&lt;del style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;Squared Test====&lt;/del&gt;&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;+&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;#REDIRECT [[RGA_Models_for_Repairable_Systems_Analysis#&lt;/ins&gt;Chi-&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;Squared_Test]&lt;/ins&gt;]&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;−&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;del style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;&amp;lt;br&amp;gt;&lt;/del&gt;&lt;/div&gt;&lt;/td&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-side-added&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;−&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;del style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;The parametric Cramér-von Mises test described above requires that the starting time,  &amp;lt;math&amp;gt;{{S}_{q}}&amp;lt;/math&amp;gt; , be equal to 0 for each of the  &amp;lt;math&amp;gt;K&amp;lt;/math&amp;gt;  systems. Although not as powerful as the Cramér-von Mises test, the Chi-Squared test can be applied regardless of the starting times. The expected number of failures for a system over its age  &amp;lt;math&amp;gt;(a,b)&amp;lt;/math&amp;gt;  for the Chi-Squared test is estimated by  &amp;lt;math&amp;gt;\widehat{\lambda }{{b}^{\widehat{\beta }}}-\widehat{\lambda }{{a}^{\widehat{\beta }}}=\widehat{\theta }&amp;lt;/math&amp;gt; , where  &amp;lt;math&amp;gt;\widehat{\lambda }&amp;lt;/math&amp;gt;  and  &amp;lt;math&amp;gt;\widehat{\beta }&amp;lt;/math&amp;gt;  are the maximum likelihood estimates.&lt;/del&gt;&lt;/div&gt;&lt;/td&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-side-added&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;−&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;del style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;The computed  &amp;lt;math&amp;gt;{{\chi }^{2}}&amp;lt;/math&amp;gt;  statistic is:&lt;/del&gt;&lt;/div&gt;&lt;/td&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-side-added&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;−&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt; &lt;/div&gt;&lt;/td&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-side-added&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;−&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;del style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;::&amp;lt;math&amp;gt;{{\chi }^{2}}=\underset{j=1}{\overset{d}{\mathop \sum }}\,{{\frac{\left[ N(j)-\theta (j) \right&lt;/del&gt;]&lt;del style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;}{\widehat{\theta }(j)}}^{2}}&amp;lt;/math&amp;gt;&lt;/del&gt;&lt;/div&gt;&lt;/td&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-side-added&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;−&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt; &lt;/div&gt;&lt;/td&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-side-added&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;−&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;del style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;where  &amp;lt;math&amp;gt;d&amp;lt;/math&amp;gt;  is the total number of intervals. The random variable  &amp;lt;math&amp;gt;{{\chi }^{2}}&amp;lt;/math&amp;gt;  is approximately Chi-Square distributed with  &amp;lt;math&amp;gt;df=d-2&amp;lt;/math&amp;gt;  degrees of freedom. There must be at least three intervals and the length of the intervals do not have to be equal. It is common practice to require that the expected number of failures for each interval,  &amp;lt;math&amp;gt;\theta (j)&amp;lt;/math&amp;gt; , be at least five. If  &amp;lt;math&amp;gt;\chi _{0}^{2}&amp;gt;\chi _{\alpha /2,d-2}^{2}&amp;lt;/math&amp;gt;  or if  &amp;lt;math&amp;gt;\chi _{0}^{2}&amp;lt;\chi _{1-(\alpha /2),d-2}^{2}&amp;lt;/math&amp;gt; , reject the null hypothesis.&lt;/del&gt;&lt;/div&gt;&lt;/td&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-side-added&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>Richard House</name></author>
	</entry>
	<entry>
		<id>https://www.reliawiki.com/index.php?title=Template:Chi-squared_test_rsa&amp;diff=11684&amp;oldid=prev</id>
		<title>Nicolette Young: Created page with &#039;====Chi-Squared Test==== &lt;br&gt; The parametric Cramér-von Mises test described above requires that the starting time,  &lt;math&gt;{{S}_{q}}&lt;/math&gt; , be equal to 0 for each of the  &lt;mat…&#039;</title>
		<link rel="alternate" type="text/html" href="https://www.reliawiki.com/index.php?title=Template:Chi-squared_test_rsa&amp;diff=11684&amp;oldid=prev"/>
		<updated>2012-01-10T22:03:38Z</updated>

		<summary type="html">&lt;p&gt;Created page with &amp;#039;====Chi-Squared Test==== &amp;lt;br&amp;gt; The parametric Cramér-von Mises test described above requires that the starting time,  &amp;lt;math&amp;gt;{{S}_{q}}&amp;lt;/math&amp;gt; , be equal to 0 for each of the  &amp;lt;mat…&amp;#039;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;====Chi-Squared Test====&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
The parametric Cramér-von Mises test described above requires that the starting time,  &amp;lt;math&amp;gt;{{S}_{q}}&amp;lt;/math&amp;gt; , be equal to 0 for each of the  &amp;lt;math&amp;gt;K&amp;lt;/math&amp;gt;  systems. Although not as powerful as the Cramér-von Mises test, the Chi-Squared test can be applied regardless of the starting times. The expected number of failures for a system over its age  &amp;lt;math&amp;gt;(a,b)&amp;lt;/math&amp;gt;  for the Chi-Squared test is estimated by  &amp;lt;math&amp;gt;\widehat{\lambda }{{b}^{\widehat{\beta }}}-\widehat{\lambda }{{a}^{\widehat{\beta }}}=\widehat{\theta }&amp;lt;/math&amp;gt; , where  &amp;lt;math&amp;gt;\widehat{\lambda }&amp;lt;/math&amp;gt;  and  &amp;lt;math&amp;gt;\widehat{\beta }&amp;lt;/math&amp;gt;  are the maximum likelihood estimates.&lt;br /&gt;
The computed  &amp;lt;math&amp;gt;{{\chi }^{2}}&amp;lt;/math&amp;gt;  statistic is:&lt;br /&gt;
&lt;br /&gt;
::&amp;lt;math&amp;gt;{{\chi }^{2}}=\underset{j=1}{\overset{d}{\mathop \sum }}\,{{\frac{\left[ N(j)-\theta (j) \right]}{\widehat{\theta }(j)}}^{2}}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where  &amp;lt;math&amp;gt;d&amp;lt;/math&amp;gt;  is the total number of intervals. The random variable  &amp;lt;math&amp;gt;{{\chi }^{2}}&amp;lt;/math&amp;gt;  is approximately Chi-Square distributed with  &amp;lt;math&amp;gt;df=d-2&amp;lt;/math&amp;gt;  degrees of freedom. There must be at least three intervals and the length of the intervals do not have to be equal. It is common practice to require that the expected number of failures for each interval,  &amp;lt;math&amp;gt;\theta (j)&amp;lt;/math&amp;gt; , be at least five. If  &amp;lt;math&amp;gt;\chi _{0}^{2}&amp;gt;\chi _{\alpha /2,d-2}^{2}&amp;lt;/math&amp;gt;  or if  &amp;lt;math&amp;gt;\chi _{0}^{2}&amp;lt;\chi _{1-(\alpha /2),d-2}^{2}&amp;lt;/math&amp;gt; , reject the null hypothesis.&lt;/div&gt;</summary>
		<author><name>Nicolette Young</name></author>
	</entry>
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