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高维数据下线性模型的序列相关检验

Testing Serial Correlation in Linear Model with High Dimensional Data
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摘要 主要考虑了在高维数据下线性模型的序列相关检验。估计了线性模型的参数,建立了对线性模型随机误差进行序列相关检验的V_(T,P)检验统计量,并得到了原假设下检验统计量的渐近分布。通过数值模拟研究了统计量在有限样本下的表现。 In this paper,we investigate the test for serial correlation in linear model with high dimensional data.First,the parameters of the linear models are estimated.Second,we establish the V_(T,P)statistics to test the serial correlation of random errors in linear models,and further derive the asymptoticdistribution under null hypothesis.Finally,the properties of statistics are studied by the simulation.
作者 刘锋 付馨苇 胡天英 陈俊霖 LIU Feng;FU Xinwei;HU Tianying;CHEN Junlin(School of Science,Chongqing University of Technology,Chongqing 404100,China)
出处 《重庆理工大学学报(自然科学)》 CAS 北大核心 2021年第4期219-223,共5页 Journal of Chongqing University of Technology:Natural Science
基金 国家自然科学基金项目(11871124)。
关键词 序列相关检验 高维数据 线性模型 V_(T P)检验 serial correlation test high-dimensional linear models V_(T,P)-test
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