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<meta property="og:title" content="Two component error model — sigma_twocomp" />

<meta property="og:description" content="Function describing the standard deviation of the measurement error 
  in dependence of the measured value \(y\):
$$\sigma = \sqrt{ \sigma_{low}^2 + y^2 * {rsd}_{high}^2}$$
This is the error model used for example by Werner et al. (1978). The model
  proposed by Rocke and Lorenzato (1995) can be written in this form as well,
  but assumes approximate lognormal distribution of errors for high values of y." />
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    <h1>Two component error model</h1>
    
    <div class="hidden name"><code>sigma_twocomp.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>
<p>This is the error model used for example by Werner et al. (1978). The model
  proposed by Rocke and Lorenzato (1995) can be written in this form as well,
  but assumes approximate lognormal distribution of errors for high values of y.</p>
    
    </div>

    <pre class="usage"><span class='fu'>sigma_twocomp</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>Werner, Mario, Brooks, Samuel H., and Knott, Lancaster B. (1978)
  Additive, Multiplicative, and Mixed Analytical Errors. Clinical Chemistry
  24(11), 1895-1898.</p>
<p>Rocke, David M. and 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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