One-Step Screening and Process Optimization Experiments.

The writer examines certain orthogonal array experiments and provides examples of one-step screening and optimization. He contends that one-step screening and optimization experiments are a feasible alternative to sequential experimentation limited by time or budget. He also suggests that some des...

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Detalles Bibliográficos
Publicado en:American Statistician Vol. 57; no. 1; pp. 15 - 21
Autor principal: Lawson, John
Formato: Artículo
Publicado: American Statistical Association February 2003
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: One-Step Screening and Process Optimization Experiments.
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        au: Lawson, John
      su:
        Experimental design
        Mathematical optimization
        Statistics
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        subj:
          Experimental design
          Mathematical optimization
          Statistics
      ab: The writer examines certain orthogonal array experiments and provides examples of one-step screening and optimization. He contends that one-step screening and optimization experiments are a feasible alternative to sequential experimentation limited by time or budget. He also suggests that some designs thought to be useful for only screening experiments can also be useful for detecting interactions, fitting quadratic models to a subset of the factors, and identifying optimal operating conditions within the ranges studied when they are combined with suitable methods of data analysis.
      pubtype: Academic Journal
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    language: English
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