Comparative studies on the adequacy check of parametric measurement error models with auxiliary variable
Sun, Zhihua2; Luo, Dongshan3; Zhou, Xiaohua1; Zhang, Qingzhao4,5
刊名STATISTICAL PAPERS
2020-01-03
页码29
关键词Weighted integrated squared distance test U-statistic test Empirical process based test Power comparisons Measurement error
ISSN号0932-5026
DOI10.1007/s00362-019-01154-3
英文摘要The adequacy check of regression models is a fundamental approach to avoid model misspecifications. Three types of tests: the weighted integrated squared distance test, the U-statistic test and the empirical process based test, are very popular due to attractive theoretical merits such as consistency and satisfactory performances in practice. In this paper, we apply these three tests to check the adequacy of a mean parametric regression model with measurement error. By rigorously investigating the asymptotic properties of three testing methods under the null, local and global alternative hypotheses, we make detailed comparisons for the three tests. To the best of our knowledge, the results of these theoretical comparisons are novel. We conduct simulation studies and a real data analysis to compare the finite sample behaviors of the proposed methods.
资助项目National Natural Science Foundation of China[11571340] ; National Natural Science Foundation of China[11971404] ; National Natural Science Foundation of China[11971045] ; MOE (Ministry of Education in China) Project of Humanities and Social Sciences[19YJC910010] ; Open Project of Key Laboratory of Big Data Mining and Knowledge Management, Chinese Academy of Sciences
WOS研究方向Mathematics
语种英语
出版者SPRINGER
WOS记录号WOS:000505386800002
内容类型期刊论文
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/50466]  
专题中国科学院数学与系统科学研究院
通讯作者Zhang, Qingzhao
作者单位1.Peking Univ, Beijing Int Ctr Math Res, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Sch Math Sci, Beijing, Peoples R China
3.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China
4.Xiamen Univ, MOE Key Lab Econ, Wang Yanan Inst Studies Econ, Sch Econ, Xiamen, Fujian, Peoples R China
5.Xiamen Univ, Fujian Key Lab Stat, Xiamen, Fujian, Peoples R China
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GB/T 7714
Sun, Zhihua,Luo, Dongshan,Zhou, Xiaohua,et al. Comparative studies on the adequacy check of parametric measurement error models with auxiliary variable[J]. STATISTICAL PAPERS,2020:29.
APA Sun, Zhihua,Luo, Dongshan,Zhou, Xiaohua,&Zhang, Qingzhao.(2020).Comparative studies on the adequacy check of parametric measurement error models with auxiliary variable.STATISTICAL PAPERS,29.
MLA Sun, Zhihua,et al."Comparative studies on the adequacy check of parametric measurement error models with auxiliary variable".STATISTICAL PAPERS (2020):29.
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