Designs for sets of experimental units with many blocking factors
are studied. It is shown that if the set of blocking factors satisfies a
certain simple condition then the information matrix for the design has a
simple form. In consequence, a design is optimal if it is optimal with respect
to one particular blocking factor and regular with respect to all the rest, in
a sense which is made precise in the paper. This encompasses several previous
results for optimal designs with more than one blocking factor, and
applications to many other situations are given.
@article{1016218230,
author = {Morgan, J. P. and Bailey, R. A.},
title = {Optimal design with many blocking factors},
journal = {Ann. Statist.},
volume = {28},
number = {3},
year = {2000},
pages = { 553-577},
language = {en},
url = {http://dml.mathdoc.fr/item/1016218230}
}
Morgan, J. P.; Bailey, R. A. Optimal design with many blocking factors. Ann. Statist., Tome 28 (2000) no. 3, pp. 553-577. http://gdmltest.u-ga.fr/item/1016218230/