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Weighted Semiparameter Model and Its Application
Joint Authors
Fu, Zhengqing
Guo, Hua
Liu, Guolin
Zhao, Ke
Source
Journal of Applied Mathematics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-4, 4 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-07
Country of Publication
Egypt
No. of Pages
4
Main Subjects
Abstract EN
A weighted semiparameter estimate model is proposed.
The parameter components and nonparameter components are weighted.
The weights are determined by the characters of different data.
Simulation data and real GPS data are both processed by the new model and least square estimate, ridge estimate, and semiparameter estimate.
The main research method is to combine qualitative analysis and quantitative analysis.
The deviation between estimated values and the true value and the estimated residuals fluctuation of different methods are used for qualitative analysis.
The mean square error is used for quantitative analysis.
The results of experiment show that the model has the smallest residual error and the minimum mean square error.
The weighted semiparameter estimate model has effectiveness and high precision.
American Psychological Association (APA)
Fu, Zhengqing& Liu, Guolin& Zhao, Ke& Guo, Hua. 2014. Weighted Semiparameter Model and Its Application. Journal of Applied Mathematics،Vol. 2014, no. 2014, pp.1-4.
https://search.emarefa.net/detail/BIM-505904
Modern Language Association (MLA)
Fu, Zhengqing…[et al.]. Weighted Semiparameter Model and Its Application. Journal of Applied Mathematics No. 2014 (2014), pp.1-4.
https://search.emarefa.net/detail/BIM-505904
American Medical Association (AMA)
Fu, Zhengqing& Liu, Guolin& Zhao, Ke& Guo, Hua. Weighted Semiparameter Model and Its Application. Journal of Applied Mathematics. 2014. Vol. 2014, no. 2014, pp.1-4.
https://search.emarefa.net/detail/BIM-505904
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-505904