descriptionPublicationkeyboard_double_arrow_right Article 11 Jul 2020 English Publisher:WileyJournal:Quality and Reliability Engineering International, volume 36, pages 2,370-2,378 (issn: 0748-8017, eissn: 1099-1638,

Authors: Grima Cintas, Pedro; Rodero de Lamo, Lourdes; Tort Martorell, Xavier;

doi: 10.1002/qre.2702

handle: 2117/343666

Selecting relevant effects in factorial designs

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Abstract

AbstractIndustrial contexts tend to be as much or more concerned about the probability of ignoring an effect when its influence on the response is relevant (Type II error) than about the probability of considering an effect to be active when in fact, it is not (Type I error). Here, we present a methodology for taking into account both types of error by fixing an effect value that is considered large enough to control the probability of it going unnoticed. In addition, we propose a plot to visualize the results obtained.

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Keywords

:65 Numerical analysis::65G Error analysis and interval analysis [Classificació AMS], Factorial designs, Àrees temàtiques de la UPC::Matemàtiques i estadística, Type I and Type II errors, Classificació AMS::60 Probability theory and stochastic processes, :Matemàtiques i estadística [Àrees temàtiques de la UPC], Significant effects, :60 Probability theory and stochastic processes [Classificació AMS], Classificació AMS::65 Numerical analysis::65G Error analysis and interval analysis

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