کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1150927 958163 2012 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Analysis of a supersaturated design using Entropy Prior Complexity for binary responses via generalized linear models
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات آمار و احتمال
پیش نمایش صفحه اول مقاله
Analysis of a supersaturated design using Entropy Prior Complexity for binary responses via generalized linear models
چکیده انگلیسی

A supersaturated design is a factorial design in which the number of effects to be estimated is greater than the available number of experimental runs. It is used in many experiments for screening purposes, i.e., for studying a large number of factors and then identifying the active ones. The goal with such a design is to identify just a few of the factors under consideration, that have dominant effects and to do this at minimum cost. While most of the literature on supersaturated designs has focused on the construction of designs and their optimality, the data analysis of such designs remains still at an early stage. In this paper, we incorporate the parameter model complexity into the supersaturated design analysis process, by assuming generalized linear models for a Bernoulli response, for analyzing main effects designs and discovering simultaneously the effects that are significant.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Statistical Methodology - Volume 9, Issue 4, July 2012, Pages 478–485
نویسندگان
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