Model identification using 27 runs three level orthogonal arrays

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 estima...

Full description

Saved in:
Bibliographic Details
Published inJournal of applied statistics Vol. 36; no. 1; pp. 33 - 38
Main Authors Angelopoulos, P., Evangelaras, H., Koukouvinos, C.
Format Journal Article
LanguageEnglish
Published Abingdon Taylor & Francis 01.01.2009
Taylor and Francis Journals
Taylor & Francis Ltd
SeriesJournal of Applied Statistics
Subjects
Combinatorics
Efficiency
geometric isomorphism
hidden projection properties
Mathematical models
orthogonal arrays
Parameter estimation
quantitative factors
Online AccessGet full text

Cover

More Information
Summary: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.
ISSN:0266-4763
1360-0532
DOI:10.1080/02664760802382509