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...
Gespeichert in:
Veröffentlicht in: | Journal of pharmaceutical sciences 2016-11, Vol.105 (11), p.3462-3463 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
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 |