(Q57193643)

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Dealing with collinearity in behavioural and ecological data: model averaging and the problems of measurement error

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Dealing with collinearity in behavioural and ecological data: model averaging and the problems of measurement error (English)

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Robert P. Freckleton

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publication date

14 September 2010

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published in

Behavioral Ecology and Sociobiology

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volume

65

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issue

1

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page(s)

91-101

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maintained by WikiProject

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https://scigraph.springernature.com/pub.10.1007/s00265-010-1045-6

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cites work

On the misuse of residuals in ecology: regression of residuals vs. multiple regression

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Yield of sugar beet in relation to weather and nutrients

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Census error and the detection of density dependence

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On the misuse of residuals in ecology: testing regression residuals vs. the analysis of covariance

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Model selection in ecology and evolution

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Model weights and the foundations of multimodel inference.

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The central role of the propensity score in observational studies for causal effects

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Sexual selection explains Rensch's rule of size dimorphism in shorebirds

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Habitat selection by yellowhammers Emberiza citrinella on lowland farmland at two spatial scales: implications for conservation management

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New paradigms for modelling species distributions?

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Cryptic multiple hypotheses testing in linear models: overestimated effect sizes and the winner's curse

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24 May 2022

https://opencitations.net/index/coci/api/v1/references/10.1007/S00265-010-1045-6

AIC model selection and multimodel inference in behavioral ecology: some background, observations, and comparisons

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10.1007/S00265-010-1045-6

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(Q57193643)

Dealing with collinearity in behavioural and ecological data: model averaging and the problems of measurement error

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