Prediction Intervals
Pharmacokinetic Models: Comparison and Selection Criterion
Survival Tree
Clearance Models: Noncompartmental Models
Improving Translational Accuracy
Distribution Reliability and Automation
您也可能阅读
通过共同作者、期刊和引用图与本文相关的文章。
Updated: Jul 9, 2025

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
1Human Development and Family Studies, Department of Human Ecology, University of California at Davis, Davis, California, USA.
交叉验证 (CV) 方法对于评估心理学中的时间序列模型至关重要. 封闭的CV通常优于传统的信息标准,如AIC和BIC,用于评估预测错误,特别是在有限的数据的情况下.
科学领域:
背景情况:
研究的目的:
主要方法:
主要成果:
结论: