Placement of modeling effects in Gamma mixture models.

NIAID Data Ecosystem2026-03-11 收录

Gamma分布

统计建模

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资源简介：

Placement of modeling effects in Gamma mixture models.

创建时间：

2020-04-20

Detecting and correcting for heteroscedasticity in the presence of measurement error

统计建模

异方差性

The problem of measurement error in predictors has received a vast amount of attention for both linear and non-linear models. The major focus has generally been on inference for regression coefficient

DataCite Commons2024-12-05 更新140

Data and R script used in the manuscript " Occurrence of topmouth gudgeon, Pseudorasbora parva , in relation to environmental factors in lowland streams and canals "

生态学

统计建模

One file is a data table with P. parva presence and environmental variables. Another file is an R script used to model the occurrence probability of the species with an information theoretic approach.

DataCite Commons2025-06-01 更新90

Appendix A. Covariates considered as predictors of daily feeding success.

喂养行为

统计建模

Covariates considered as predictors of daily feeding success.

DataCite Commons2020-09-03 更新70

Supplemental material for A Simple Solution to Heteroscedasticity in Multilevel Nonlinear Structural Equation Modeling

统计建模

误差估计

In multilevel nonlinear structural equation modeling via latent moderated structural equations, the homoscedasticity assumption is typically made; that is, it is assumed that the variances within high

DataCite Commons2023-12-12 更新120

An Explicit Mean-Covariance Parameterization for Multivariate Response Linear Regression

统计建模

生物信息学

We develop a new method to fit the multivariate response linear regression model that exploits a parametric link between the regression coefficient matrix and the error covariance matrix. Specifically

DataCite Commons2022-08-03 更新70

Placement of modeling effects in Gamma mixture models.

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