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

Mathematics

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