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	<title>thesIt &#187; Stone 1974</title>
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		<title>Stone 1974 is referenced in: Michaelsen &#8230;</title>
		<link>http://lakm.us/thesit/316/stone-1974-is-referenced-inmichaelsen/</link>
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		<pubDate>Sun, 22 Aug 2010 12:41:37 +0000</pubDate>
		<dc:creator>Arif</dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[cross-validation]]></category>
		<category><![CDATA[error]]></category>
		<category><![CDATA[estimation]]></category>
		<category><![CDATA[k-fold]]></category>
		<category><![CDATA[Michaelsen 1987]]></category>
		<category><![CDATA[reference]]></category>
		<category><![CDATA[Stone 1974]]></category>

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		<description><![CDATA[Stone 1974 is referenced in:
Michaelsen J. 1987. Cross-validation in statistical climate forecast models. J Climate Applied Meteorology, 26:1589-1600
1520-0450(1987)026-1589-cviscf-2.0.co;2.pdf
Set  consists of predictions and targets 
A set of prediction rule  will be used to predict y0 from 
Let  be the accuracy.
by least squares this will usually 
in other words expected Err is

MSE

In cross validation
]]></description>
			<content:encoded><![CDATA[<p>Stone 1974 is referenced in:<br />
Michaelsen J. 1987. Cross-validation in statistical climate forecast models. <i>J Climate Applied Meteorology</i>, 26:1589-1600</p>
<p><code><a href="http://journals.ametsoc.org/doi/abs/10.1175/1520-0450(1987)026<1589:CVISCF>2.0.CO;2">1520-0450(1987)026-1589-cviscf-2.0.co;2.pdf</a></code></p>
<p>Set <img src="http://lakm.us/thesit/wp-content/uploads/eq_9ba076dd6bb8492276d55d6eba4426dd.png" align="absmiddle" class="tex" alt="Z = z_{1}, z_{2},... , z_{1}" /> consists of predictions and targets <img src="http://lakm.us/thesit/wp-content/uploads/eq_daa39427192ac3aa475b144bc35d8474.png" align="absmiddle" class="tex" alt="z_{i}=(x_{i}, y_{i})" /></p>
<p>A set of prediction rule <img src="http://lakm.us/thesit/wp-content/uploads/eq_fe0f7385f849065eb2c4a9d3fc43cff1.png" align="absmiddle" class="tex" alt="\eta (x,Z)" /> will be used to predict y<sub>0</sub> from <img src="http://lakm.us/thesit/wp-content/uploads/eq_0cf6b515e8282bc189e99e089fbec517.png" align="absmiddle" class="tex" alt="\eta (x_{0},Z)" /></p>
<p>Let <img src="http://lakm.us/thesit/wp-content/uploads/eq_9ef6f3af2ea843d5273bad7d2d6ca52a.png" align="absmiddle" class="tex" alt="Q(y_{i},\eta_{i})" /> be the accuracy.<br />
by least squares this will usually <img src="http://lakm.us/thesit/wp-content/uploads/eq_5f92ce56ee3d7c84c1095240f8632b7e.png" align="absmiddle" class="tex" alt="(y_{i}-\eta_{i})^{2}" /><br />
in other words expected Err is<br />
<img src="http://lakm.us/thesit/wp-content/uploads/eq_a3a3253210769351b42ecc2c29b07f59.png" align="absmiddle" class="tex" alt="Err= E[Q(y_{i},\eta(x_{0},Z))]" /></p>
<h2>MSE</h2>
<p><img src="http://lakm.us/thesit/wp-content/uploads/eq_d74147edd30861f4fb14c995a384a2d3.png" align="absmiddle" class="tex" alt="MSE= \sum_{i=1}^{n}Q(y_{i},\eta(x_{i},Z))/n" /></p>
<p>In cross validation<br />
<img src="http://lakm.us/thesit/wp-content/uploads/eq_0c588b4269646a1c4ee8d83d92235f7d.png" align="absmiddle" class="tex" alt="MSE_{(CV)}= \sum_{i=1}^{n}Q(y_{i},\eta(x_{i},Z_{(i)}))/n" /></p>]]></content:encoded>
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