Weighted Semiparameter Model and Its Application

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Zhengqing Fu, Guolin Liu, Ke Zhao, Hua Guo
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2014/892107
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832568019593723904
author Zhengqing Fu
Guolin Liu
Ke Zhao
Hua Guo
author_facet Zhengqing Fu
Guolin Liu
Ke Zhao
Hua Guo
author_sort Zhengqing Fu
collection DOAJ
description 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.
format Article
id doaj-art-a4a22978c58940a88a0467ac9de58c85
institution Kabale University
issn 1110-757X
1687-0042
language English
publishDate 2014-01-01
publisher Wiley
record_format Article
series Journal of Applied Mathematics
spelling doaj-art-a4a22978c58940a88a0467ac9de58c852025-02-03T00:59:53ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/892107892107Weighted Semiparameter Model and Its ApplicationZhengqing Fu0Guolin Liu1Ke Zhao2Hua Guo3College of Mathematics and System Sciences, SDUST, Qingdao, Shandong 266590, ChinaGeomatics College, SDUST, Qingdao, Shandong 266590, ChinaGeomatics College, SDUST, Qingdao, Shandong 266590, ChinaCollege of Mathematics and System Sciences, SDUST, Qingdao, Shandong 266590, ChinaA 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.http://dx.doi.org/10.1155/2014/892107
spellingShingle Zhengqing Fu
Guolin Liu
Ke Zhao
Hua Guo
Weighted Semiparameter Model and Its Application
Journal of Applied Mathematics
title Weighted Semiparameter Model and Its Application
title_full Weighted Semiparameter Model and Its Application
title_fullStr Weighted Semiparameter Model and Its Application
title_full_unstemmed Weighted Semiparameter Model and Its Application
title_short Weighted Semiparameter Model and Its Application
title_sort weighted semiparameter model and its application
url http://dx.doi.org/10.1155/2014/892107
work_keys_str_mv AT zhengqingfu weightedsemiparametermodelanditsapplication
AT guolinliu weightedsemiparametermodelanditsapplication
AT kezhao weightedsemiparametermodelanditsapplication
AT huaguo weightedsemiparametermodelanditsapplication