Abstract
It is shown that the individual subsystems of a stochastic analytical system affect the a posteriori uncertainty and thereby, the information gain of the analytical result. The effects of sampling, separation procedures and calibration on the information gain of quantitative analysis, expressed in terms of the extended divergence measure, are discussed, and rules that can be utilized in the optimization of analytical procedures are given.
Publisher
Institute of Organic Chemistry & Biochemistry
Cited by
3 articles.
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1. Chemical analysis: Information contribution of results;Collection of Czechoslovak Chemical Communications;1991
2. How to achieve a high information gain of results of quantitative analyses;Collection of Czechoslovak Chemical Communications;1990
3. Information gain as uncertainty reduction;Collection of Czechoslovak Chemical Communications;1990