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authorJohannes Ranke <jranke@uni-bremen.de>2018-01-19 16:01:47 +0100
committerJohannes Ranke <jranke@uni-bremen.de>2018-01-30 10:43:58 +0100
commita37ba8f8898e4629dfc9d2558fc19a180551de2d (patch)
treedcae8090ab31e2e21ebdcb8f8fe11ada521523cc /docs/reference/sigma_rl.html
parentf18213520f20aba947093e53113c44b689e8b98d (diff)
Reweighting with two-component error model
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+ <h1>Two component error model of Rocke and Lorenzato</h1>
+ </div>
+
+
+ <p>Function describing the standard deviation of the measurement error
+ in dependence of the measured value:</p>
+<p>\(sigma = sqrt(sigma_low^2 + y^2 * rsd_high^2)\)</p>
+
+
+ <pre class="usage"><span class='fu'>sigma_rl</span>(<span class='no'>y</span>, <span class='no'>sigma_low</span>, <span class='no'>rsd_high</span>)</pre>
+
+ <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a> Arguments</h2>
+ <table class="ref-arguments">
+ <colgroup><col class="name" /><col class="desc" /></colgroup>
+ <tr>
+ <th>y</th>
+ <td><p>The magnitude of the observed value</p></td>
+ </tr>
+ <tr>
+ <th>sigma_low</th>
+ <td><p>The asymptotic minimum of the standard deviation for low observed values</p></td>
+ </tr>
+ <tr>
+ <th>rsd_high</th>
+ <td><p>The coefficient describing the increase of the standard deviation with
+ the magnitude of the observed value</p></td>
+ </tr>
+ </table>
+
+ <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
+
+ <p>The standard deviation of the response variable.</p>
+
+ <h2 class="hasAnchor" id="references"><a class="anchor" href="#references"></a>References</h2>
+
+ <p>Rocke, David M. und Lorenzato, Stefan (1995) A two-component model for
+ measurement error in analytical chemistry. Technometrics 37(2), 176-184.</p>
+
+
+ </div>
+ <div class="col-md-3 hidden-xs hidden-sm" id="sidebar">
+ <h2>Contents</h2>
+ <ul class="nav nav-pills nav-stacked">
+ <li><a href="#arguments">Arguments</a></li>
+
+ <li><a href="#value">Value</a></li>
+
+ <li><a href="#references">References</a></li>
+ </ul>
+
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