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dc.contributor.author
Magallanes, Jorge Federico  
dc.contributor.author
Olivieri, Alejandro Cesar  
dc.date.available
2021-03-17T12:31:59Z  
dc.date.issued
2010-05  
dc.identifier.citation
Magallanes, Jorge Federico; Olivieri, Alejandro Cesar; The effect of factor interactions in Plackett-Burman experimental designs: Comparison of Bayesian-Gibbs analysis and genetic algorithms; Elsevier Science; Chemometrics and Intelligent Laboratory Systems; 102; 1; 5-2010; 8-14  
dc.identifier.issn
0169-7439  
dc.identifier.uri
http://hdl.handle.net/11336/128454  
dc.description.abstract
A genetic algorithm has been developed in order to estimate not only the main effects but also the association of terms when analyzing the influence of experimental factors through a Plackett-Burman design of experiments. The results for a series of simulated systems as well as experimental examples show excellent agreement with a Bayesian-Gibbs approach. The Plackett-Burman design is usually employed for screening, but its performance depends on the assumption that the interaction effects are negligible. Simulations allow one to analyze the effect of increasing interactions on the significance of main factors when Plackett-Burman designs are processed by neglecting factor associations.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier Science  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
BAYESIAN-GIBBS ANALYSIS  
dc.subject
EXPERIMENTAL DESIGN AND MODELING  
dc.subject
FACTOR ASSOCIATIONS  
dc.subject
GENETIC ALGORITHMS  
dc.subject
PLACKETT-BURMAN DESIGNS  
dc.subject.classification
Química Analítica  
dc.subject.classification
Ciencias Químicas  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
The effect of factor interactions in Plackett-Burman experimental designs: Comparison of Bayesian-Gibbs analysis and genetic algorithms  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2021-02-18T15:22:37Z  
dc.journal.volume
102  
dc.journal.number
1  
dc.journal.pagination
8-14  
dc.journal.pais
Países Bajos  
dc.journal.ciudad
Amsterdam  
dc.description.fil
Fil: Magallanes, Jorge Federico. Comisión Nacional de Energía Atómica; Argentina  
dc.description.fil
Fil: Olivieri, Alejandro Cesar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Química Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Química Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Departamento de Química Analítica; Argentina  
dc.journal.title
Chemometrics and Intelligent Laboratory Systems  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0169743910000316  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.chemolab.2010.02.007  

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