This paper deals with the nonparametric estimation of the expectile regression when the observations are spatially correlated and are of a functional nature. The main findings of this work is the establishment of the almost complete convergence for the proposed estimator under some general mixing conditions. The performance of the proposed estimator is examined by using simulated data. Finally, the studied model is used to evaluate the air quality indicators in northeast China.

中文翻译：

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空间功能数据分析的期望回归 (sFDA)

本文讨论了当观测值在空间上相关且具有函数性质时期望回归的非参数估计。这项工作的主要发现是在一些一般混合条件下为所提出的估计量建立了几乎完全收敛。通过使用模拟数据来检查建议的估计器的性能。最后，利用所研究的模型对东北地区空气质量指标进行评价。