Please use this identifier to cite or link to this item: 192.168.6.56/handle/123456789/105481
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dc.contributor.authorSharon Kühlmann-Berenzon, Urban Hjorth-
dc.date.accessioned2020-02-11T08:20:25Z-
dc.date.accessioned2020-05-15T23:00:23Z-
dc.date.available2020-02-11T08:20:25Z-
dc.date.available2020-05-15T23:00:23Z-
dc.date.issued2007-
dc.identifier.urihttp://196.189.45.87:8080/handle/123456789/105481-
dc.descriptionThe 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.en_US
dc.languageEnglishen_US
dc.language.isoenen_US
dc.publisherSpringer Science+Business Media, LLCen_US
dc.subjectEcology·Forestry·Influence potential·Local scale·Logistic regression·Nuisance parameters·Odds ratio·Sufficient statisticsen_US
dc.titleAccounting for large-scale factors in the studyof understory vegetation using a conditionallogistic modelen_US
dc.typeArticleen_US
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