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.

【Fund】： 国家自然科学基金项目(40574002);; 广西青年科学基金项目(0728097);; 广西研究生教育创新计划项目(2008105960816M20);; 广西区应用基础研究专项(桂科基0991023)
【CateGory Index】： P207

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