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Penalized least squares method and the kernel method of Semi-parametric model estimation

LI Huan-bo,LIU Li-long,JINHui-guo(Guilin Institute of Technology,Guangxi Guilin 541004,China)  
Based on the effect of systematic error removal using semi-parameters in measuring data processing,the paper compared between semi-parametric penalized least squares method and the kernel method.Because both methods exists limits,different methods should be selected depending on practical cases.The paper finally gave simulation examples to remove systematic errors,and fit with actual measurement to validate the feasibility of two methods.
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