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Updated: Jun 18, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
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负双项-林德利模型与时间依赖参数:在碰撞数据中考虑时间变化和过度零观测

Richard Dzinyela1, Mohammadali Shirazi2, Subasish Das3

  • 1Zachary Department of Civil and Environmental Engineering, Texas A&M University, College Station, TX, 3136 TAMU, College Station, TX 77843-3136, United States.

Accident; analysis and prevention
|July 31, 2024
PubMed
概括

这项研究引入了一种新的依赖时间的负二项式-林德利模型,以改进碰撞频率分析. 改进后的模型更好地处理过量零观测和碰撞数据的时间变化,从而实现更准确的预测.

关键词:
撞击数量可以计数.过剩的零点观察负二项式 林德利 负二项式短时间分析 短时间分析时间变化时间变化.

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