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Comparison of AIC and BIC of different methods on four datasets.
Comparison of AIC and BIC of different methods on four datasets.
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Figshare
2025-07-10 更新
2026-04-28 收录
统计模型选择
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数据链接:
https://figshare.com/articles/dataset/Comparison_of_AIC_and_BIC_of_different_methods_on_four_datasets_/29537116
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资源简介:
Comparison of AIC and BIC of different methods on four datasets.
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创建时间:
2025-07-10
相关数据集
Appendix A. Calculations of AICc weights (wi), indicating support for different models in various candidate sets.
统计模型选择
Calculations of AICc weights (wi), indicating support for different models in various candidate sets.
Mendeley Data
2024-06-29 更新
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Summary of model selection results for the relationship between seed set and pollinator exclusion.
植物繁殖生态学
统计模型选择
Summary of model selection results for the relationship between seed set and pollinator exclusion.
Figshare
2019-01-02 更新
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Multivariate statistical analysis, full logistic regression model.
逻辑回归建模
统计模型选择
*p = ≤0.05.**p = ≤0.01.***p = ≤0.001.1Akaike Information Criterion.
Figshare
2015-12-02 更新
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R code for reproducing the results in the paper
统计模型选择
生态学方法
This code reproduces the results in the paper "The relative performance of AIC, AICC and BIC in the presence of unobserved heterogeneity", to appear soon in the journal Methods in Ecology and Evolutio
DataCite Commons
2022-02-02 更新
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The following model was selected with AIC for total brain size as the dependent variable.
结构分析
统计模型选择
The following model was selected with AIC for total brain size as the dependent variable.
Figshare
2019-07-22 更新
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