一些比率类型的预测估计器用于估计河流的平均水位,使用季节作为辅助属性
Muhammad Rafaqat1,2, Hina Khan1
1Department of Statistics, Government College (GC) University, Lahore, Pakistan.
Heliyon
|January 13, 2025
概括
这项研究引入了河流水位的新预测估计器,使用季节性数据来提高准确性. 开发的方法为估计平均河流水位提供了更高的性能.
科学领域:
- 环境科学 环境科学
- 水文学 水文学
- 统计建模 统计建模
背景情况:
- 准确的河流水位估计对于水资源管理至关重要.
- 季节性变化显著影响河流水位,需要先进的估计技术.
研究的目的:
- 开发和评估河流平均水位的新型预测估计器.
- 用季节性数据作为辅助属性来提高估计准确度.
主要方法:
- 采用了预测方法,将平均水位作为研究变量,季节作为辅助属性.
- 根据水位和季节之间观察到的正相关性,开发了比例类型的预测估计器.
- 平均平方误差 (MSE) 和偏差是为拟议和传统估计器计算的.
主要成果:
- 在Jhelum河的平均水位和季节之间发现了正相关性.
- 与现有的传统估计器相比,提出的预测估计器表现得更好.
- 开发的估计器有效地减少了水位估计中的偏差和MSE.
结论:
- 该研究成功开发了对河流水位的改进预测估计器.
- 这些发现突显了季节性数据在提高水文估计准确性的有用性.
- 提出的方法为监测和管理河流水资源提供了更可靠的方法.
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