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	Modal regression statistical inference for longitudinal data semivarying coefficient models: Generalized estimating equations, empirical likelihood and variable selection
	Wang K.; Li S.; Sun X.; Lin L.
刊名	Computational Statistics and Data Analysis
	2018
关键词	Efficiency Empirical likelihood Partial linear varying coefficient models Robustness Variable selection
DOI	10.1016/j.csda.2018.10.010
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4572129
专题	山东大学
作者单位	1.School of Statistics, Shandong Technology and Business University, Yantai, China 2.Guanghua School of Management, Peking University,
推荐引用方式 GB/T 7714	Wang K.,Li S.,Sun X.,et al. Modal regression statistical inference for longitudinal data semivarying coefficient models: Generalized estimating equations, empirical likelihood and variable selection[J]. Computational Statistics and Data Analysis,2018.
APA	Wang K.,Li S.,Sun X.,&Lin L..(2018).Modal regression statistical inference for longitudinal data semivarying coefficient models: Generalized estimating equations, empirical likelihood and variable selection.Computational Statistics and Data Analysis.
MLA	Wang K.,et al."Modal regression statistical inference for longitudinal data semivarying coefficient models: Generalized estimating equations, empirical likelihood and variable selection".Computational Statistics and Data Analysis (2018).

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