Designing Experiments for Large Numbers of Factors
محل انتشار: پنجمین کنفرانس آمار ایران
سال انتشار: 1379
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 1,345
فایل این مقاله در 26 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
ISC05_011
تاریخ نمایه سازی: 14 دی 1388
چکیده مقاله:
In many practical problems, for example in industrial and scientific research, the number of factors that might possibly influence the response of interest can very large. Sometimes scientific understanding, or results from previous experiments, can be used to reduce the list of possible factors for investigation to a size that allows economic experimentation in terms of cost and time. Where such prior knowledge is not available, a variety of other approaches can be used to identify the important factors. And hence screen out unimportant factors, through a series of experiment. This paper briefly describes various screening techniques, and discusses their advantages and disadvantages with particular emphasis on detecting important interactions in industrial product development. Recent work on investigating group screening methods will be described, and criteria discussed for assessing and choosing between designs.
نویسندگان
Sue Lewis
Department of Mathematics, University of Southampton, S۰۱۷ ۱BJ, UK.