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对于多层次半连续数据,Tweedie复合Poisson模型具有共变依赖的随机效应

Renjun Ma1, Md Dedarul Islam1, M Tariqul Hasan1

  • 1Department of Mathematics and Statistics, University of New Brunswick, Fredericton, NB E3B 5A3, Canada.

Entropy (Basel, Switzerland)
|June 28, 2023
PubMed
概括

本研究引入了一种新的统计模型,用于分析医学和金融研究中常见的复杂半连续数据. 同变量依赖的Tweedie复合Poisson模型通过计算不同数据级别的随机效应和同变量之间的关系来提高准确性.

关键词:
最好的线性无偏预测器聚类数据是聚类数据.随机效应是一种随机效应.重复的数据是重复的数据.两部分模型的模型有两个部分.零膨胀数据是零膨胀的数据.

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