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《Journal of Geomatics Science and Technology》 2008-04
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An Estimation Method of Semi-parametric Models Based on Regular Kernel Function

CAO Yi-zhi1,SUI Li-fen1,GAO Cheng-sheng2(1.Institute of Surveying and Mapping,Information Engineering University,Zhengzhou 450052,China;2.Geomantic Center of Yantai,Yantai 264003,China)  
An estimation method of semi-parametric models based on regular kernel function was presented.It could effectively separate and estimate systemic error,aiming at the influence of systemic error for estimating parameter in the cause of surveying data processing.Furthermore,as a result of affiliating the regular parameter,the method could avoid excessively fitting nonparameter and obtain satisfying effect when dealed with small observed sample values.Finally with two examples the validity of the estimations was verified.
【Fund】: 国家自然科学基金项目(40474007)
【CateGory Index】: P207
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