sensortoolkit.calculate._rmse
This module computes the root mean square error for quantifying the error between sensor and FRM/FEM measurements.
U.S. EPA’s Performance Targets Reports recommend the root mean square error (RMSE), where RMSE is calculated as
- where:
\(RMSE\) = root mean square error
\(N\) = number of 1-hour/24-hour periods during which all identical instruments are operating and returning valid averages over the duration of the field test
\(N\) = number of identical sensors operated simultaneously during a field test
\(x_{pj}\) = valid 1-hour/24-hour averaged sensor PM2.5 concentration for averaging interval p and instrument j
\(R_{p}\) = valid 1-hour/24-hour averaged FRM/FEM PM2.5 concentration for averaging interval p
This equation assumes only one FRM/FEM instrument will be running. If multiple FRM/FEM instruments are running, separate testing reports can be generated for each.
- @Author:
- Samuel Frederick, NSSC Contractor (ORAU)U.S. EPA / ORD / CEMM / AMCD / SFSB
- Created:
Wed Sep 8 10:34:51 2021
- Last Updated:
Wed Sep 8 10:34:51 2021
Functions
Compute the root mean square error for concurrent sensor measurements in each testing deployment groups. |