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Substitution model choice.
Substitution model choice.
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Figshare
2025-12-23 更新
2026-04-28 收录
统计模型选择
信息准则评估
数据链接:
https://figshare.com/articles/dataset/_p_Substitution_model_choice_p_/30941424
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资源简介:
Akaike Information Criteria and Baeyesian Information Criteria. (XLSX)
应用场景:
创建时间:
2025-12-23
相关数据集
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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Model fit criteria comparing 1-class, 2-class, 3-class latent class analysis model.
潜在类别分析
统计模型选择
Model fit criteria comparing 1-class, 2-class, 3-class latent class analysis model.
NIAID Data Ecosystem
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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
2
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Appendix D. Supplementary results showing the complete model selection and the effect of modelling the radio-collar battery on the parameters of interest.
野生动物遥测技术
统计模型选择
Supplementary results showing the complete model selection and the effect of modelling the radio-collar battery on the parameters of interest.
Figshare
2016-08-09 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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