Weighted semiparameter model and its application
type: Item
instance of: scholarly article
title: Weighted semiparameter model and its application
zbMATH Open document ID: 1407.62107
DOI: 10.1155/2014/892107
author: Zhengqing Fu
author: Guolin Liu
author: Ke Zhao
author: Hua Guo
published in: Journal of Applied Mathematics
publication date: 2019-02-01T00:00:00Z
review text: Summary: 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.
Mathematics Subject Classification ID: 62G05
zbMATH DE Number: 7010787
Wikidata QID: Q59054152
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2014/892107
OpenAlex ID: W1989490076
DBLP publication ID: journals/jam/FuLZG14
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description: scientific article; zbMATH DE number 7010787