Advanced regression methodology in ion chromatography (CROSBI ID 540532)
Prilog sa skupa u zborniku | sažetak izlaganja sa skupa | međunarodna recenzija
Podaci o odgovornosti
Bolanča, Tomislav ; Ukić, Šime
engleski
Advanced regression methodology in ion chromatography
In many situations information about two or more associated variables is obtained in order to study their relationship. Depending on the nature of the variables, the investigation is carried out either by regression analysis or by correlation analysis. In regression analysis this relationship is expressed as a mathematical function which can be also used for predicting one variable from knowledge of the other(s). To study the dependence of a random variable (the dependent variable or the response variable) on a variable which is controlled by the experimenter, either because its values are exactly known or can be preselected (the independent or the prediction variable). An important application of regression analysis is calibration where instrumental response is related to the known concentrations of analyte in calibration standards. The final aim of the regression analysis is then to use mathematical expression, relating the response and the concentration, to predict the concentration of unknown samples.
regression methodology; ion chromatography
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Podaci o prilogu
14-15.
2008.
objavljeno
Podaci o matičnoj publikaciji
10th International School of Ion Chromatography, Book of Abstracts
Bolanča, Tomislav ; Ukić, Šime ; Margeta, Karmen
Zagreb: Fakultet kemijskog inženjerstva i tehnologije Sveučilišta u Zagrebu
978-953-6470-40-2
Podaci o skupu
10th International School of Ion Chromatography
predavanje
03.06.2008-06.06.2008
Brijuni, Hrvatska