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Comparative studies on the adequacy check of parametric measurement error models with auxiliary variable
Sun, Zhihua1; Luo, Dongshan2; Zhou, Xiaohua3; Zhang, Qingzhao4,5
2020-01-03
发表期刊STATISTICAL PAPERS
ISSN0932-5026
页码29
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.
关键词Weighted integrated squared distance test U-statistic test Empirical process based test Power comparisons Measurement error
DOI10.1007/s00362-019-01154-3
收录类别SCI
语种英语
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
WOS类目Statistics & Probability
WOS记录号WOS:000505386800002
出版者SPRINGER
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/50467
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.Univ Chinese Acad Sci, Sch Math Sci, Beijing, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China
3.Peking Univ, Beijing Int Ctr Math Res, 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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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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