| A REVIEW OF INFORMATION THEORY IN ANALYTICAL CHEMOMETRICS |
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| 作者姓名： | KAREL ECKSCHLAGER VLADIMíR KLAUS DANZER |
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| 作者单位： | Institute of Inorganic Chemistry Czechoslovak Academy of Science 250 68 ■Prague Czechoslovakia，Nuclear Research Institute. 250 68 ■ Prague Czechoslovakia，Section Chemistry F. Schiller University Am Steiger 3，6900 Jena G. D. R. |
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| 摘 要： | Information theory makes it possible to judge and evaluate methods and results in chemical analysis. Theobtained information can be expressed in different ways. One way is to define information as the decreaseof uncertainty after analysis. Conditional probabilities are therefore considered when evaluating theinformation provided by qualitative analyses. However, the use of other information measures, such asthe information gain, is often preferable. In multicomponent analysis the translation of information fromsignals to the amounts of the analytes has been investigated along with the relevance of individualcomponents. Information theory can also be applied to find the optimum experimental conditions. Theevaluation of the properties of analytical methods by information theory has been proposed.
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A REVIEW OF INFORMATION THEORY IN ANALYTICAL CHEMOMETRICS |
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| KAREL ECKSCHLAGER.A REVIEW OF INFORMATION THEORY IN ANALYTICAL CHEMOMETRICS[J].Journal of Geographical Sciences,1990(3). |
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| Authors: | KAREL ECKSCHLAGER |
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| Institution: | KAREL ECKSCHLAGER,Institute of Inorganic Chemistry,Czechoslovak Academy of Science,Czechoslovaki,Nuclear Research Institute,CzechoslovakiaAND KLAUS DANZER,Section Chemistry,F. Schiller University,Am Steiger,Jen,G.D.R |
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| Abstract: | Information theory makes it possible to judge and evaluate methods and results in chemical analysis. The obtained information can be expressed in different ways. One way is to define information as the decrease of uncertainty after analysis. Conditional probabilities are therefore considered when evaluating the information provided by qualitative analyses. However, the use of other information measures, such as the information gain, is often preferable. In multicomponent analysis the translation of information from signals to the amounts of the analytes has been investigated along with the relevance of individual components. Information theory can also be applied to find the optimum experimental conditions. The evaluation of the properties of analytical methods by information theory has been proposed. |
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| Keywords: | Entropy Decrease of uncertainty Information gain Relevance coefficients |
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