![](/images/graphics-bg.png)
The Local Linear M-Estimation with Missing Response Data
Joint Authors
Xu, Fengmin
Zhang, Cheng-Yi
Luo, Shuanghua
Source
Journal of Applied Mathematics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-29
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
This paper studies the nonparametric regressive function with missing response data.
Three local linear M-estimators with the robustness of local linear regression smoothers are presented such that they have the same asymptotic normality and consistency.
Then finite-sample performance is examined via simulation studies.
Simulations demonstrate that the complete-case data M-estimator is not superior to the other two local linear M-estimators.
American Psychological Association (APA)
Luo, Shuanghua& Zhang, Cheng-Yi& Xu, Fengmin. 2014. The Local Linear M-Estimation with Missing Response Data. Journal of Applied Mathematics،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-468981
Modern Language Association (MLA)
Luo, Shuanghua…[et al.]. The Local Linear M-Estimation with Missing Response Data. Journal of Applied Mathematics No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-468981
American Medical Association (AMA)
Luo, Shuanghua& Zhang, Cheng-Yi& Xu, Fengmin. The Local Linear M-Estimation with Missing Response Data. Journal of Applied Mathematics. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-468981
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-468981