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ANOVA results for the response surface quadratic model.

Figshare2015-12-02 更新2026-04-29 收录

响应曲面分析

统计模型验证

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1)Degrees of freedom.*Significant at a level of 0.05; **Significant at a level of 0.01.

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2015-12-02

系统发育进化速率估计

统计模型验证

A recent pair of articles published in the journal Evolution presented a test for assessing the validity of hierarchical macroevolutionary models. The premise of the test is to compare numerical point

NIAID Data Ecosystem90

Number of significant p-values for each term of “mod INITIAL".

统计模型验证

生态形态学预测

Number of significant p-values (< 0.05) out of 100 p-values in the 10 k-fold cross validation repeated 10 times for each covariate in the initial model for biomass and density indices.

NIAID Data Ecosystem60

Supplemental Material for Mehta et al., 2019

群体遗传分化

统计模型验证

Figure S1 provides comparisons of observed FST to theoretical and null values of FST+, for both random SNP sets and SNP windows. Figure S2 displays the distribution of r^2 values from linear regressio

DataCite Commons2020-07-14 更新40

The validation of a beta-binomial model for overdispersed binomial data

统计模型验证

beta-binomial模型

The beta-binomial model has been widely used as an analytically tractable alternative that captures the overdispersion of an intra-correlated, binomial random variable, X . However, the model va

DataCite Commons2024-03-24 更新80

Fitting the NiDP model.

疟原虫机制研究

统计模型验证

Data sets that are consistent with no interaction between the Plasmodium spp. considered are highlighted in grey (and have a row number marked with bold font in the first column). Such data sets have

Figshare2019-12-03 更新50

ANOVA results for the response surface quadratic model.

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