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The study of experimental factors
University of Tromsø, Tromsø, Norway.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0002-6216-6132
2009 (English)In: Comprehensive Chemometrics: Chemical and Biochemical Data Analysis, Amsterdam: Elsevier, 2009, 1, p. 301-344Chapter in book (Other academic)
Abstract [en]

This chapter presents methods used 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. The use of t-statistics and confidence intervals as well as how cumulative normal probability plots can be used to identify significant variables is discussed. The methods are illustrated by examples from chemical experiments.

Place, publisher, year, edition, pages
Amsterdam: Elsevier, 2009, 1. p. 301-344
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-21485DOI: 10.1016/B978-044452701-1.00082-XScopus ID: 2-s2.0-84882462122Local ID: f3743350-3bae-11dd-8e42-000ea68e967bISBN: 0-444-52702-8 (print)OAI: oai:DiVA.org:ltu-21485DiVA, id: diva2:994531
Note

Godkänd; 2009; 20080616 (johanc)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2022-04-23Bibliographically approved

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Carlson, Johan E.

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