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vegan-refs.bib
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vegan-refs.bib
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@ARTICLE{Blanchet2008,
title = "Forward selection of explanatory variables",
author = "Blanchet, F Guillaume and Legendre, Pierre and Borcard, Daniel",
affiliation = "D\'{e}partment de Sciences Biologiques, Universit\'{e} de
Montr\'{e}al, C.P. 6128, Succursale Centre-ville,
Montr\'{e}al, Qu\'{e}bec H3C 3J7, Canada. [email protected]",
abstract = "This paper proposes a new way of using forward selection of
explanatory variables in regression or canonical redundancy
analysis. The classical forward selection method presents two
problems: a highly inflated Type I error and an overestimation
of the amount of explained variance. Correcting these problems
will greatly improve the performance of this very useful
method in ecological modeling. To prevent the first problem,
we propose a two-step procedure. First, a global test using
all explanatory variables is carried out. If, and only if, the
global test is significant, one can proceed with forward
selection. To prevent overestimation of the explained
variance, the forward selection has to be carried out with two
stopping criteria: (1) the usual alpha significance level and
(2) the adjusted coefficient of multiple determination (Ra(2))
calculated using all explanatory variables. When forward
selection identifies a variable that brings one or the other
criterion over the fixed threshold, that variable is rejected,
and the procedure is stopped. This improved method is
validated by simulations involving univariate and multivariate
response data. An ecological example is presented using data
from the Bryce Canyon National Park, Utah, U.S.A.",
journal = "Ecology",
publisher = "Eco Soc America",
volume = 89,
number = 9,
pages = "2623--2632",
month = sep,
year = 2008
}