Title of article
Robust surrogate measurement correction using generalised additive model
Author/Authors
Ropkins، نويسنده , , Karl and Li، نويسنده , , Hu and Hawley، نويسنده , , Gary T. Chen، نويسنده , , Haibo and Tate، نويسنده , , James and Andrews، نويسنده , , Gordon and Bell، نويسنده , , Margaret، نويسنده ,
Issue Information
دوفصلنامه با شماره پیاپی سال 2009
Pages
6
From page
164
To page
169
Abstract
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.
Keywords
Measurement correction , Generalised additive model (GAM) , Vehicle exhaust flow , Pitot exhaust flow meter
Journal title
Chemometrics and Intelligent Laboratory Systems
Serial Year
2009
Journal title
Chemometrics and Intelligent Laboratory Systems
Record number
1489406
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