Bayesian wavelength selection in multicomponent analysis
نویسندگان
چکیده
منابع مشابه
Bayesian Wavelength Selection in Multicomponent Analysis
Multicomponent analysis attempts to simultaneously predict the ingredients of a mixture. If near-infrared spectroscopy provides the predictor variables, then modern scanning instruments may offer absorbances at a very large number of wavelengths. Although it is perfectly possible to use whole spectrum methods (e.g. PLS, ridge and principal component regression), for a number of reasons it is of...
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ژورنال
عنوان ژورنال: Journal of Chemometrics
سال: 1998
ISSN: 0886-9383,1099-128X
DOI: 10.1002/(sici)1099-128x(199805/06)12:3<173::aid-cem505>3.3.co;2-s