Exploració per autor "Xampeny Solaní, Rafael"
Ara es mostren els items 1-7 de 7
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Analysis of the integration of Lean and Six Sigma methodologies
Xampeny Solaní, Rafael (Universitat Politècnica de Catalunya / Universtat de Barcelona, 2015-06)
Projecte Final de Màster Oficial
Accés restringit per decisió de l'autorMany organizations use an improvement methodology that is a mixture or Lean and Six Sigma. The theoretical framework as how to integrate both methods are not clearly defined, there is small bibliography on the subject and ... -
Consequences of using estimated response values from negligible interactions in factorial designs
Xampeny Solaní, Rafael; Grima Cintas, Pedro; Tort-Martorell Llabrés, Xavier (2018-12-21)
Article
Accés obertThis article analyzes the increase in the probability of committing type I and type II errors in assessing the significance of the effects when some properly selected runs have not been carried out and their responses have ... -
Contributions to the planning and analysis of factorial designs
Xampeny Solaní, Rafael (Universitat Politècnica de Catalunya, 2018-06-20)
Tesi
Accés obertThe thesis is structured in five articles. In the first article, two methods are compared to analyze the significance of the effects: the Lenth method and the one based on the estimation of the variance of the effects from ... -
Estimating missing values from negligible interactions in factorial designs
Xampeny Solaní, Rafael; Grima Cintas, Pedro; Tort-Martorell Llabrés, Xavier (2017-01-01)
Article
Accés obertWhen a factorial design has some missing value but there are contrasts (at least as many as there are missing values) corresponding to interactions that can be considered negligible, equating the expressions of those ... -
Selecting significant effects in factorial designs: Lenth's method versus using negligible interactions
Xampeny Solaní, Rafael; Grima Cintas, Pedro; Tort-Martorell Llabrés, Xavier (2018-01-01)
Article
Accés obertAmong the many analytical techniques that have been published to analyze the significance of the effects in the absence of replications, two have emerged as the most widely used in text books as well as statistical software ... -
Selecting significant effects in factorial designs: Lenth’s method versus the Box-Meyer approach
Xampeny Solaní, Rafael; Grima Cintas, Pedro; Tort-Martorell Llabrés, Xavier (Taylor & Francis, 2018-01-01)
Article
Accés obertThe Lenth method is conceptually simple and probably the most common approach to analyzing the significance of the effects in factorial designs. Here, we compare it with a Bayesian approach proposed by Box and Meyer and ... -
Which runs to skip in two-level factorial designs when not all can be performed
Xampeny Solaní, Rafael; Grima Cintas, Pedro; Tort-Martorell Llabrés, Xavier (2018-04-03)
Article
Accés restringit per política de l'editorialWhen a two-level factorial design allows estimating contrasts that can be considered negligible from scratch, it is possible to omit some runs and later estimate their values by equating to zero the expressions of some of ...