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Akaike Information Criterion (AIC) comparisons of Generalized Linear Mixed Models testing the effects of different cucurbit management practices in a citizen science survey, 2017–2019.

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Figshare2020-03-10 更新2026-04-28 收录
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https://figshare.com/articles/dataset/Akaike_Information_Criterion_AIC_comparisons_of_Generalized_Linear_Mixed_Models_testing_the_effects_of_different_cucurbit_management_practices_in_a_citizen_science_survey_2017_2019_/11963520
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Fixed effects were compared using the difference in AIC (ΔAICc) between the model of the lowest AIC and all other models. AIC weight indicates the probability that a model best describes the data. The model with the lowest ΔAICc and the highest AIC weight is assumed to better fit the data than other models.
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2020-03-10
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