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-$$\sigma = \sqrt{ \sigma_{low}^2 + y^2 * {rsd}_{high}^2}$$" />
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- <h1>Two component error model of Rocke and Lorenzato</h1>
-
- <div class="hidden name"><code>sigma_rl.Rd</code></div>
- </div>
-
- <div class="ref-description">
-
- <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>
-
- </div>
-
- <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>
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