<p>It is not always possible to accurately describe the relationship between a set of calibration points with a rectilinear</p>
<p>curve, even by decreasing the working range. Instead of the linear regression analysis, a least-squares fit to a</p>
<p>second-order polynomial is applied (see test for linearity in 4.1.3 of ISO 8466-1:1990[1]). Using this fit, it is possible</p>
<p>to calculate not only the calibration function but also the confidence interval associated with it.</p>
<p>This part of ISO 8466 is intended primarily for use in method development and may not necessarily be applicable to</p>
<p>all routine analyses.</p>
Registration number (WIID)
34816
Scope
<p>It is not always possible to accurately describe the relationship between a set of calibration points with a rectilinear</p>
<p>curve, even by decreasing the working range. Instead of the linear regression analysis, a least-squares fit to a</p>
<p>second-order polynomial is applied (see test for linearity in 4.1.3 of ISO 8466-1:1990[1]). Using this fit, it is possible</p>
<p>to calculate not only the calibration function but also the confidence interval associated with it.</p>
<p>This part of ISO 8466 is intended primarily for use in method development and may not necessarily be applicable to</p>
<p>all routine analyses.</p>
