Uncertainty of results in routine qualitative analysis

Autor:	Itziar Ruisánchez, F.X. Rius, Ricard Boqué, A. Pulido
Rok vydání:	2003
Předmět:	Contingency table Bayes' theorem Computer science Probabilistic logic Econometrics Sensitivity analysis Interval (mathematics) Value (mathematics) Spectroscopy Reliability (statistics) Uncertainty analysis Analytical Chemistry
Zdroj:	TrAC Trends in Analytical Chemistry. 22:647-654
ISSN:	0165-9936
DOI:	10.1016/s0165-9936(03)01104-x
Popis:	Uncertainty is a performance characteristic that should be estimated in both quantitative and qualitative results in order to improve knowledge of their reliability. Contrary to quantitative results, uncertainty in qualitative analysis cannot be expressed as an interval around the predicted value. The uncertainty is probabilistic in nature as it might express the probability of taking a wrong decision. In this article, we review four different ways of estimating the uncertainty of a qualitative or screening system: contingency tables; Bayes’ theorem; statistical intervals; and, performance curves. We pay particular attention to their advantages and drawbacks, and their main applications.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::08b645357ffe3716b0d2ef7a623479c8 https://doi.org/10.1016/s0165-9936(03)01104-x Zobrazit plný text záznamu Full Text from ScienceDirect