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STRONG CONSISTENCY OF M ESTIMATOR IN LINEAR MODEL FOR NEGATIVELY ASSOCIATED SAMPLES
作者姓名:Qunying  WU
作者单位:Department of Maths and Physics, Guilin University of Technology, Ouilin 541004, China.
基金项目:The research is supported by National Natural Science Foundation of China (No. 10661006), the Support Program for 100 Young and Middle-aged Disciplinary Leaders in Guangxi Higher Education Institutions ([2005]64), and Guangxi Science Foundation (0447096).
摘    要:This paper discusses the strong consistency of M estimator of regression parameter in linear model for negatively associated samples. As a result, the author extends Theorem 1 and Theorem 2 of Shanchao YANG (2002) to the NA errors without necessarily imposing any extra condition.

关 键 词:一致性  线性模型  否定联合样本  系统科学
收稿时间:2003-04-28
修稿时间:2003-04-282006-05-10

Strong Consistency of M Estimator in Linear Model for Negatively Associated Samples
Qunying WU.STRONG CONSISTENCY OF M ESTIMATOR IN LINEAR MODEL FOR NEGATIVELY ASSOCIATED SAMPLES[J].Journal of Systems Science and Complexity,2006,19(4):592-600.
Authors:Qunying Wu
Institution:(1) Department of Maths and Physics, Guilin University of Technology, Guilin, 541004, China
Abstract:This paper discusses the strong consistency of M estimator of regression parameter in linear model for negatively associated samples.As a result,the author extends Theorem 1 and Theorem 2 of Shanchao YANG(2002)to the NA errors without necessarily imposing any extra condition.
Keywords:Linear model  M estimator  negatively associated sample  strong consistency  
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