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authorJohannes Ranke <jranke@uni-bremen.de>2018-09-07 07:36:23 +0200
committerJohannes Ranke <jranke@uni-bremen.de>2018-09-07 07:36:23 +0200
commit74147e956951f82cb5d73f4245faff20136c6860 (patch)
tree776e9672b33cc176dc93a80ca4e6dc854219bd53 /docs/reference
parent3933c80d234d3e4fd6f40667b147d77efb7cb4c1 (diff)
Remove help page left after correction
Unfortunately google points at this page when looking for the two component error model of Rocke and Lorenzato, while this outdated page really describes a simplified version...
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- in dependence of the measured value \(y\):
-$$\sigma = \sqrt{ \sigma_{low}^2 + y^2 * {rsd}_{high}^2}$$" />
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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>
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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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