Quantifying Uncertainty in the Ratio of Two Measured Variables: A Recap and Example

Estimating uncertainty in the ratio of 2 measured variables can be achieved via 2 seemingly different approaches: by determining the variance of the first-order Taylor approximation to the ratio, or by the so-called “Propagation of Error” approach. This Lesson Learned shows that the 2 approaches are...

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Veröffentlicht in:Journal of pharmaceutical sciences 2016-11, Vol.105 (11), p.3462-3463
Hauptverfasser: Shackleford, David M., Jamsen, Kris M.
Format: Artikel
Sprache:eng
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Zusammenfassung:Estimating uncertainty in the ratio of 2 measured variables can be achieved via 2 seemingly different approaches: by determining the variance of the first-order Taylor approximation to the ratio, or by the so-called “Propagation of Error” approach. This Lesson Learned shows that the 2 approaches are mathematically equivalent, and provides an example of the approach.
ISSN:0022-3549
1520-6017
DOI:10.1016/j.xphs.2016.07.019