The generalised additive model (GAM) was developed as a prognostic tool for the investigation of data set trends. However, it is also proposed as a viable framework for the development of surrogate measurement corrections for instrumental data sets. This hypothesis is supported by an example application, the development of a robust vehicle exhaust flow measurement correction for a flow meter with a known measurement error.
- Generalised additive model (GAM)
- Vehicle exhaust flow
- Measurement correction
- Pitot exhaust flow meter
Ropkins, K., Li, H., Hawley, G., Chen, H., Tate, J., Andrews, G., & Bell, M. (2009). Robust surrogate measurement correction using generalised additive model. Chemometrics and Intelligent Laboratory Systems, 95(2), 164-169. https://doi.org/10.1016/j.chemolab.2008.10.005