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Assessing the coefficient of variations of chemical data using bootstrap method
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Mathematics, Mathematical Statistics.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Mathematics, Mathematical Statistics.
2011 (English)In: Journal of Chemometrics, ISSN 0886-9383, E-ISSN 1099-128X, Vol. 25, no 6, 295-300 p.Article in journal (Refereed) Published
Abstract [en]

The coefficient of variation is frequently used in the comparison and precision of results with different scales. This work examines the comparison of the coefficient of variation without any assumptions about the underlying distribution. A family of tests based on the bootstrap method is proposed, and its properties are illustrated using Monte Carlo simulations. The proposed method is applied to chemical experiments with iid and non-iid observations.

Place, publisher, year, edition, pages
2011. Vol. 25, no 6, 295-300 p.
Keyword [en]
bootstrap method, coefficient of variation, Monte Carlo simulation
National Category
Mathematics
Identifiers
URN: urn:nbn:se:uu:diva-156490DOI: 10.1002/cem.1350ISI: 000292542300002OAI: oai:DiVA.org:uu-156490DiVA: diva2:431786
Available from: 2011-07-25 Created: 2011-07-25 Last updated: 2017-12-08Bibliographically approved

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