Title:	Accounting for large-scale factors in the studyof understory vegetation using a conditionallogistic model
Authors:	Sharon Kühlmann-Berenzon, Urban Hjorth
Keywords:	Ecology·Forestry·Influence potential·Local scale·Logistic regression·Nuisance parameters·Odds ratio·Sufficient statistics
Issue Date:	2007
Publisher:	Springer Science+Business Media, LLC
Description:	The aim of this paper is to develop an approach for modeling the local variation of factors on the presence of a specific under story species in such way that the large-scale variation due to other environmental factors is taken into account. One way would be to fit a logistic regression that requires estimating the parameters from both local and large scales. Instead we propose a conditional logistic model that avoids computing the large-scale parameters but still provides estimates for the local-scale factors of interest.
URI:	http://196.189.45.87:8080/handle/123456789/105481
Appears in Collections:	Accounting and Finance

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