Least Absolute Deviation Estimate for Functional Coefficient Partially Linear Regression Models
Joint Authors
Zuo, Guoxin
Feng, Yanqin
Liu, Li
Source
Journal of Probability and Statistics
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-21, 21 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-12-26
Country of Publication
Egypt
No. of Pages
21
Main Subjects
Abstract EN
The functional coefficient partially linear regression model is a useful generalization of the nonparametric model, partial linear model, and varying coefficient model.
In this paper, the local linear technique and the L1 method are employed to estimate all the functions in the functional coefficient partially linear regression model.
The asymptotic properties of the proposed estimators are studied.
Simulation studies are conducted to show the validity of the estimate procedure.
American Psychological Association (APA)
Feng, Yanqin& Zuo, Guoxin& Liu, Li. 2012. Least Absolute Deviation Estimate for Functional Coefficient Partially Linear Regression Models. Journal of Probability and Statistics،Vol. 2012, no. 2012, pp.1-21.
https://search.emarefa.net/detail/BIM-448157
Modern Language Association (MLA)
Feng, Yanqin…[et al.]. Least Absolute Deviation Estimate for Functional Coefficient Partially Linear Regression Models. Journal of Probability and Statistics No. 2012 (2012), pp.1-21.
https://search.emarefa.net/detail/BIM-448157
American Medical Association (AMA)
Feng, Yanqin& Zuo, Guoxin& Liu, Li. Least Absolute Deviation Estimate for Functional Coefficient Partially Linear Regression Models. Journal of Probability and Statistics. 2012. Vol. 2012, no. 2012, pp.1-21.
https://search.emarefa.net/detail/BIM-448157
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-448157