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Summary of the Tweedie model analysis and selection using AIC values.

Figshare2018-11-05 更新2026-04-29 收录

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https://figshare.com/articles/dataset/Summary_of_the_Tweedie_model_analysis_and_selection_using_AIC_values_/7299428 数据链接链接失效反馈

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资源简介：

Summary of the Tweedie model analysis and selection using AIC values.

应用场景：

创建时间：

2018-11-05

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 Commons2022-02-02 更新90

Results of AIC and log likelihood ratio tests to determine the model that best explains the number of grooves in bat ears.

生物形态建模

统计模型选择

Results of AIC and log likelihood ratio tests to determine the model that best explains the number of grooves in bat ears.

NIAID Data Ecosystem60

Patient-based percentages of pixels best fitted from a specific model according to the AIC weights and F-ratio.

医学影像量化

统计模型选择

Patient-based percentages of pixels best fitted from a specific model according to the AIC weights and F-ratio.

NIAID Data Ecosystem40

Text S1 - Statistical Power of Model Selection Strategies for Genome-Wide Association Studies

全基因组关联分析

统计模型选择

Supplementary Note for proofs and arguments, distributions of test statistics, extended comparisons of power for model selection methods, and formulas for distribution parameters of test statistics.

NIAID Data Ecosystem70

Akaike information criterion (AIC) and Bayesian Information criterion (BIC) for the models 1, 2 and 3 in Eq 2 when applied to the ensemble of the SDRR computed on different part of the exercise test: Before test (pre), during test (effort) or during recovery (post).

心率变异性

统计模型选择

Akaike information criterion (AIC) and Bayesian Information criterion (BIC) for the models 1, 2 and 3 in Eq 2 when applied to the ensemble of the SDRR computed on different part of the exercise test:

NIAID Data Ecosystem60

Summary of the Tweedie model analysis and selection using AIC values.

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