Published in:

95. M. Meloun, J. Čapek P. Mikšík, R. G. Brereton: Critical comparison of methods predicting the number of components in spectroscopic data, Anal. Chim. Acta, 423 (2000) 51 - 68.

 

Data95.xls

Figures

Fig. 1 The indices (full circles) and logarithm of the indices (empty circles) of 13 methods as a function of the number of principal components k for a simulated three-components system in mixture, potassium bichromate - cobalt(II) sulphate - copper(II) sulphate, with r = 3, n = 82, m = 41 and SER = 1570, S-Plus.
Fig. 2a Spectra of relative absorbance for three components described on Fig. 1.
Fig. 2b Diagram of a relative concentration of three components in mixture for a simulated data set of three components described on Fig. 1.
Fig. 2c 3D-relative absorption spectra for a simulated data set of three components described on Fig. 1.
Fig. 3Spectra of relative absorbance for 6 components i. e. the protonated form HL and anion L- of Bromocresol Green + Phenol Red + Thymol Blue in mixture with r = 6, n = 33, m = 31 and SER about 2780, S-Plus.
Fig. 4 3D-relative absorption spectra for 6 components descibed on Fig. 3.
Fig. 5 The indices (full circles) and logarithm of the indices (empty circles) of 13 methods as a function of the number of principal components k for a experimental data set of 6 components descibed on Fig. 3.
Fig. 6 The second derivative detection criterium applied on 11 indices methods descibed on Fig. 3.
Fig. 7The ratio of derivatives detection criterium applied on 11 indices methods descibed on Fig. 3.

Nahoru

© Milan Meloun 2024