Please use this identifier to cite or link to this item:
|Type:||Artigo de periódico|
|Title:||State Of The Art Of Figures Of Merit In Multivariate Calibration [estado Da Arte De Figuras De Mérito Em Calibração Multivariada]|
|Abstract:||The validation of an analytical procedure must be certified through the determination of parameters known as figures of merit. For first order data, the acuracy, precision, robustness and bias is similar to the methods of univariate calibration. Linearity, sensitivity, signal to noise ratio, adjustment, selectivity and confidence intervals need different approaches, specific for multivariate data. Selectivity and signal to noise ratio are more critical and they only can be estimated by means of the calculation of the net analyte signal. In second order calibration, some differentes approaches are necessary due to data structure.|
|Citation:||Quimica Nova. , v. 32, n. 5, p. 1278 - 1287, 2009.|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.