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The Study of Experimental Factors
Department of Chemistry, Faculty of Science, University of Tromsoe, Tromsoe, Norway.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0002-6216-6132
2020 (English)In: Comprehensive Chemometrics: Chemical and Biochemical Data Analysis / [ed] Steven Brown, Romà Tauler and Beata Walczak, Elsevier, 2020, 2, p. 251-285Chapter in book (Other academic)
Abstract [en]

The article presents methods for the study of experimental factors. The use of Ishikawa diagrams as tools for identifying relevant experimental variables is discussed. The construction and evaluation of two-level factorial and fractional factorial designs are presented in detail. Statistical properties of such designs are discussed. It is shown how the use of t-statistics and confidence intervals as well as how cumulative Normal probability plots can be used to identify significant variables. The methods are illustrated by examples from chemical experiments.

Place, publisher, year, edition, pages
Elsevier, 2020, 2. p. 251-285
Keywords [en]
Confidence limits, Cumulative normal probability plot, Experimental domain, Experimental error, Experimental variables, Factorial design, Fractional factorial design, Ishikawa diagram, Response surface, Taylor expansion, Two-level designs
National Category
Signal Processing
Research subject
Signal Processing
Identifiers
URN: urn:nbn:se:ltu:diva-78775DOI: 10.1016/B978-0-12-409547-2.14877-2Scopus ID: 2-s2.0-85151711008OAI: oai:DiVA.org:ltu-78775DiVA, id: diva2:1428191
Note

ISBN för värdpublikation: 978-0-444-64166-3

Available from: 2020-05-05 Created: 2020-05-05 Last updated: 2023-10-11Bibliographically approved

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Carlson, Johan E.

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