Model Identification Using 27 Runs Three Levelorthogonal Arrays

P. Angelopoulos; H. Evangelaras; C. Koukouyinos

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Model Identification Using 27 Runs Three Levelorthogonal Arrays

机译：使用27行三个水平正交阵列的模型识别

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摘要

In this paper we examine all the combinatorial non-isomorphic OA(27, q, 3, t), with 3 ≤ q ≤ 13 three level quantitative factors, with respect to model identification, estimation capacity and efficiency. We use the popular D-efficiency criterion to evaluate the ability of each design considered in estimating the parameters of a second-order model with adequate efficiency. The prior selection of the 'middle' level of factors plays an important role in the results.

机译：在本文中，我们从模型识别，估计能力和效率方面研究了3≤q≤13三级定量因子的所有组合非同构OA（27，q，3，t）。我们使用流行的D效率准则来评估在以足够的效率估算二阶模型参数时考虑的每种设计的能力。优先选择“中等”水平的因素在结果中起着重要作用。

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来源
《Journal of applied statistics》 |2009年第2期|p.33-38|共6页
作者
P. Angelopoulos; H. Evangelaras; C. Koukouyinos;
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作者单位

Department of Mathematics, National Technical University of Athens, Athens, Greece;

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正文语种 eng
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关键词
orthogonal arrays; quantitative factors; geometric isomorphism; hidden projection properties;

机译：正交阵列定量因子几何同构隐投影特性;

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Model Identification Using 27 Runs Three Levelorthogonal Arrays

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