Results from generalised additive models.

Figshare2019-09-25 更新2026-04-29 收录

广义加性模型

统计模型选择

数据链接：

https://figshare.com/articles/dataset/Results_from_generalised_additive_models_/9903530 数据链接链接失效反馈

官方服务：

资源简介：

GAM models including the most relevant variables as defined by partial deviance.

创建时间：

2019-09-25

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 Commons2022-02-02 更新90

Robust Estimation for Generalized Additive Models

稳健估计

广义加性模型

This article studies M -type estimators for fitting robust generalized additive models in the presence of anomalous data. A new theoretical construct is developed to connect the costly M -

DataCite Commons2020-09-05 更新80

Corrected Akaike information criterion (AICc)-selected best GAM descriptions and deviance explained for every micro-size plankton abundance.

浮游生物生态建模

广义加性模型

Corrected Akaike information criterion (AICc)-selected best GAM descriptions and deviance explained for every micro-size plankton abundance.

NIAID Data Ecosystem50

Scalable Visualization Methods for Modern Generalized Additive Models

广义加性模型

数据可视化

In the last two decades, the growth of computational resources has made it possible to handle generalized additive models (GAMs) that formerly were too costly for serious applications. However, the gr

DataCite Commons2020-08-27 更新90

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.

Figshare2016-08-09 更新70