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	Nonparametric regression with discrete covariate and missing values
	Chen, Song Xi ; Tang, Cheng Yong
	2011
关键词	Nonparametric regression Discrete kernel smoothing Imputation Missing values Variance reduction MULTIVARIATE BINARY DISCRIMINATION CONFIDENCE BANDS EMPIRICAL LIKELIHOOD FUNCTIONALS MODELS
英文摘要	We consider nonparametric regression with a mixture of continuous and discrete explanatory variables where realizations of the response variable may be missing. An imputation based nonparametric regression estimator is proposed. We show that the proposed approach leads to a leading order variance benefit, whereas smoothing the categorical variables gives a second order variance improvement. We also demonstrate the applications of the proposed approach through numerical simulations and two practical examples.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000298000500005&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Mathematical & Computational Biology; Mathematics, Interdisciplinary Applications; SCI(E); 0; ARTICLE; 4; 463-474; 4
语种	英语
出处	SCI
出版者	statistics and its interface
内容类型	其他
源URL	[http://hdl.handle.net/20.500.11897/321786]
专题	数学科学学院
推荐引用方式 GB/T 7714	Chen, Song Xi,Tang, Cheng Yong. Nonparametric regression with discrete covariate and missing values. 2011-01-01.

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