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Text S1 - Boosted Beta Regression

Figshare2015-12-02 更新2026-04-29 收录

比例数据回归分析

生态统计建模

数据链接：

https://figshare.com/articles/dataset/_Boosted_Beta_Regression_/689499 数据链接链接失效反馈

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资源简介：

This document provides technical details on boosted beta regression, as well as the full list of predictor variables used for the analysis of the NLA data. (PDF)

应用场景：

创建时间：

2015-12-02

植物-昆虫相互作用

生态统计建模

Linear regressions for the grasses and forbs that were investigated in the grasshopper feeding experiment with respect to the two nonmetric multidimensional scaling axes (NMDS).

NIAID Data Ecosystem60

Summary of generalized linear models results.

生态统计建模

蝙蝠多样性评估

Bat diversity parameters (species richness, abundance, functional richness and functional abundance) were tested as dependent variables. In all cases, the fitted model was Y = μ + Forest cover + Seaso

Figshare2016-12-08 更新40

Tested carcass density distribution models with corrected Akaike’s information criterion (AICc) and delta (Δ) AICc, and fitted parameters.

生态统计建模

野生动物种群

Tested carcass density distribution models with corrected Akaike’s information criterion (AICc) and delta (Δ) AICc, and fitted parameters.

Figshare2018-12-12 更新20

Appendix C. Parameter estimates from the general linear model using all main effects to explain the end of the supplemental feeding season.

生态统计建模

野生动物管理

Parameter estimates from the general linear model using all main effects to explain the end of the supplemental feeding season.

NIAID Data Ecosystem40

Standard deviation of the random factor.

生态统计建模

随机效应分析

We show the standard deviation of the best model in each set (in all cases this was the model including either individual or breeding pair identities, see Tables 3 and 4), and that of the same model s

Figshare2015-12-02 更新30

Text S1 - Boosted Beta Regression

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