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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 \(y\):</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>
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<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>
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