《山东大学学报(理学版)》 ›› 2025, Vol. 60 ›› Issue (3): 100-106.doi: 10.6040/j.issn.1671-9352.0.2024.051
杨玉杰,凌能祥*
YANG Yujie, LING Nengxiang*
摘要： 首先基于不完全观测的函数型数据,介绍部分函数型线性分位数回归模型及模型的估计方法和实施预测的步骤。其次,由于不完全观测的函数型变量广泛存在,利用尼泊尔2019年4月8日至2020年8月31日期间每10分钟一次的测风塔记录数据进行实证分析。针对风速数据的不完全函数型特征,构建以此为协变量、以日均气压为响应变量的不完全部分函数型线性分位数回归模型,获得模型未知斜率函数和未知参数的估计量,并且对日均气压进行预测分析,进一步说明模型及方法的有效性。
中图分类号:
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