سال انتشار: ۱۳۷۹
محل انتشار: پنجمین کنفرانس آمار ایران
تعداد صفحات: ۱۴
Christine Sexton – Department of Mathematics, University of Southampton, SO17 1BJ, UK.
Sue Lewis – Department of Mathematics, University of Southampton, SO17 1BJ, UK.
Colin Please – Department of Mathematics, University of Southampton, SO17 1BJ, UK.
This paper describes how optimal design methods have enabled efficient and economic experiments involving such derived factors to be planned and performed. The approach developed uses a modest sample of measured components which are assembled into products for testing in a way that gives as much information as possible on the factorial effects of interest. Thus full control is sacrificed over the values taken by factors, but some control is retained over which factor values are combined in the experiment.
An algorithm for finding optimal designs is discussed which uses an exchange procedure. The issues of correlations amongst parameter estimators and robustness of the designs to missing data are also discussed. The approach is illustrated via a study on hydraulic gear pumps from the automotive industry.