کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1151066 958184 2009 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Group screening method for the statistical analysis of E(fNOD)E(fNOD)-optimal mixed-level supersaturated designs
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات آمار و احتمال
پیش نمایش صفحه اول مقاله
Group screening method for the statistical analysis of E(fNOD)E(fNOD)-optimal mixed-level supersaturated designs
چکیده انگلیسی

In this paper, we propose the application of group screening methods for analyzing data using E(fNOD)E(fNOD)-optimal mixed-level supersaturated designs possessing the equal occurrence property. Supersaturated designs are a large class of factorial designs which can be used for screening out the important factors from a large set of potentially active variables. The huge advantage of these designs is that they reduce the experimental cost drastically, but their critical disadvantage is the high degree of confounding among factorial effects. Based on the idea of the group screening methods, the ff factors are sub-divided into gg “group-factors”. The “group-factors” are then studied using the penalized likelihood statistical analysis methods at a factorial design with orthogonal or near-orthogonal columns. All factors in groups found to have a large effect are then studied in a second stage of experiments. A comparison of the Type I and Type II error rates of various estimation methods via simulation experiments is performed. The results are presented in tables and discussion follows.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Statistical Methodology - Volume 6, Issue 4, July 2009, Pages 380–388
نویسندگان
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