Abstract
An important statistical development of the last 30 years has been
the advance in regression analysis provided by generalized linear
models (GLMs) and generalized additive models (GAMs). Here we introduce
a series of papers prepared within the framework of an international
workshop entitled: Advances in GLMs/GAMs modeling: from species distribution
to environmental management, held in Riederalp, Switzerland, 6-11
August 2001. We first discuss some general uses of statistical models
in ecology, as well as provide a short review of several key examples
of the use of GLMs and GAMs in ecological modeling efforts. We next
present an overview of GLMs and GAMs, and discuss some of their related
statistics used for predictor selection, model diagnostics, and evaluation.
Included is a discussion of several new approaches applicable to
GLMs and GAMs, such as ridge regression, an alternative to stepwise
selection of predictors, and methods for the identification of interactions
by a combined use of regression trees and several other approaches.
We close with an overview of the papers and how we feel they advance
our understanding of their application to ecological modeling. �
2002 Elsevier Science B.V. All rights reserved.
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