TY - JOUR
T1 - Robust surrogate measurement correction using generalised additive model
AU - Ropkins, Karl
AU - Li, Hu
AU - Hawley, Gary
AU - Chen, Haibo
AU - Tate, James
AU - Andrews, Gordon
AU - Bell, Margaret
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
KW - Generalised additive model (GAM)
KW - Vehicle exhaust flow
KW - Measurement correction
KW - Pitot exhaust flow meter
UR - http://www.scopus.com/inward/record.url?scp=58149204180&partnerID=8YFLogxK
UR - http://dx.doi.org/10.1016/j.chemolab.2008.10.005
U2 - 10.1016/j.chemolab.2008.10.005
DO - 10.1016/j.chemolab.2008.10.005
M3 - Article
SN - 0169-7439
VL - 95
SP - 164
EP - 169
JO - Chemometrics and Intelligent Laboratory Systems
JF - Chemometrics and Intelligent Laboratory Systems
IS - 2
ER -