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Likelihood and model selection


Richards, SA, Likelihood and model selection, Ecological Statistics: Contemporary theory and application, Oxford University Press, GA Fox, S Negrete-Yankelevich, VJ Sosa (ed), United Kingdom, pp. 58-80. ISBN 9780199672547 (2015) [Research Book Chapter]

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Copyright 2015 Oxford University Press

DOI: doi:10.1093/acprof:oso/9780199672547.003.0004


Ecologists study the way biotic and abiotic interactions affect the distribution and abundance of organisms. Interpreting ecological studies, though, is generally not straightforward because most biological patterns of interest are affected by complex webs of interactions (Hilborn and Mangel 1997). Often, numerous simplifying biological hypotheses can be proposed that describe key processes or relations among variables, and the objective of an ecological study is to identify which hypothesis (or set of hypotheses) is best supported. To achieve this it is usually necessary to formalize the hypotheses using mathematical models and then fit them to the data at hand (Richards 2005; Bolker 2008). Model selection is the process of determining which model(s) best describe the data, and, in turn this provides a way for determining which biological hypotheses have support.

Item Details

Item Type:Research Book Chapter
Keywords:likelihood, model selection
Research Division:Mathematical Sciences
Research Group:Statistics
Research Field:Applied statistics
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the mathematical sciences
UTAS Author:Richards, SA (Dr Shane Richards)
ID Code:118705
Year Published:2015
Deposited By:Office of the School of Natural Sciences
Deposited On:2017-07-18
Last Modified:2017-10-16

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