Sum of ranking differences (SRD) to ensemble multivariate calibration model merits for tuning parameter selection and comparing calibration methods
نویسندگان
چکیده
منابع مشابه
Sum of ranking differences (SRD) to ensemble multivariate calibration model merits for tuning parameter selection and comparing calibration methods.
Most multivariate calibration methods require selection of tuning parameters, such as partial least squares (PLS) or the Tikhonov regularization variant ridge regression (RR). Tuning parameter values determine the direction and magnitude of respective model vectors thereby setting the resultant predication abilities of the model vectors. Simultaneously, tuning parameter values establish the cor...
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ژورنال
عنوان ژورنال: Analytica Chimica Acta
سال: 2015
ISSN: 0003-2670
DOI: 10.1016/j.aca.2014.12.056