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A farewell to the sum of Akaike weights: The benefits of alternative metrics for variable importance estimations in model selection

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第一作者： Galipaud, Matthias

作者： Galipaud, Matthias ^[1] ; Gillingham, Mark A. F. ^[2] ; Dechaume-Moncharmont, Francois-Xavier ^[3]

作者单位： Univ Ulm ^[1] Univ Bourgogne Franche Comte ^[2] Bielefeld Univ ^[3]

关键词 Akaike information criterion effect size evidence ratio model-averaging multi-model inferences standardised parameter estimates variable criticality variable ranking MULTIMODEL INFERENCE BEHAVIORAL ECOLOGY PREDICTOR VARIABLES RELATIVE IMPORTANCE INFORMATION-THEORY REGRESSION GUIDE CALL

发布时间 2023-06-27

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Methods in Ecology and Evolution

2017年8卷12期

1668-1678页

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Methods in Ecology and Evolution

2017年8卷12期

1668-1678页

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A farewell to the sum of Akaike weights: The benefits of alternative metrics for variable importance estimations in model selection

Methods in Ecology and Evolution

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Methods in Ecology and Evolution

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A farewell to the sum of Akaike weights: The benefits of alternative metrics for variable importance estimations in model selection

Methods in Ecology and Evolution

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Methods in Ecology and Evolution

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