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Logistic regression models evaluated for the prediction of alive and dead/dying plants (n = 34) using the Akaike Information Criterion.

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Figshare2015-12-02 更新2026-04-29 收录
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https://figshare.com/articles/dataset/_Logistic_regression_models_evaluated_for_the_prediction_of_alive_and_dead_dying_plants_n_8202_8202_34_using_the_Akaike_Information_Criterion_/343689
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Note: AICc is Akaike's Information Criterion corrected for small sample size; K is the number of estimable parameters in the model including the intercept; Δ AICc = relative AICc for each model compared to the best-supported model; and wi = Akaike weight indicating the degree of support for each model (values range from 0 to 1). Best model is indicated by asterisk.
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2015-12-02
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