Author： Stylianou S.
Publisher： Taylor & Francis Ltd
ISSN： 0361-0926
Source： Communications in Statistics: Theory and Methods, Vol.39, Iss.10, 2010-06, pp. : 1776-1784
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Abstract
A conference matrix is a square matrix C with zeros on the diagonal and ±1s off the diagonal, such that CTC = CCT = (n - 1)I, where I is the identity matrix. Conference matrices are an important class of combinatorial designs due to their many applications in several fields of science, including statistical-experimental designs, telecommunications, elliptic geometry, and more. In this article, conference matrices and their full foldover design are combined together to obtain an alternative method for screening active factors in complicated problems. This method provides a model-independent estimate of the set of active factors and also gives a linearity test for the underlying model.
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