A MODEL SELECTION PROCEDURE IN MIXTURE-PROCESS EXPERIMENTS FOR INDUSTRIAL PROCESS OPTIMIZATION

Pesquisa Operacional

Márcio Nascimento De Souza Leão¹  Antonio Fernando De Castro Vieira¹  Luiz Henrique Abreu Dal Bello¹ 

关键词: mixture experiments;    process optimization;    information criterion;    multicollinearity;   

DOI  :  10.1590/0101-7438.2015.035.02.0377

来源: SciELO

【 摘 要 】

We present a model selection procedure for use in Mixture and Mixture-Process Experiments. Certain combinations of restrictions on the proportions of the mixture components can result in a very constrained experimental region. This results in collinearity among the covariates of the model, which can make it difficult to fit the model using the traditional method based on the significance of the coefficients. For this reason, a model selection methodology based on information criteria will be proposed for process optimization. Two examples are presented to illustrate this model selection procedure.

【 授权许可】

CC BY   
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