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 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.

MoreLess

Year of publication:	2009
Authors:	Angelopoulos, P. ; Evangelaras, H. ; Koukouvinos, C.
Published in:	Journal of Applied Statistics. - Taylor & Francis Journals, ISSN 0266-4763. - Vol. 36.2009, 1, p. 33-38
Publisher:	Taylor & Francis Journals
Subject:	orthogonal arrays \| quantitative factors \| geometric isomorphism \| hidden projection properties

More details

Extent:	text/html
Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://ebvufind01.dmz1.zbw.eu/10005495229