STRONG CONSISTENCY OF M ESTIMATOR IN LINEAR MODEL FOR NEGATIVELY ASSOCIATED SAMPLES
- ISSN号:1009-6124
- 期刊名称:《系统科学与复杂性学报:英文版》
- 时间:0
- 分类:N94[自然科学总论—系统科学]
- 作者机构:[1]Department of Maths and Physics, Guilin University of Technology, Ouilin 541004, China.
- 相关基金: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).
中文摘要:
这篇论文为否定地联系的样品在线性模型讨论回归参数的 M 评估者的强壮的一致性。作为结果,作者扩大 Theorem1 和定理到没有必然强加任何额外的条件的 NA 错误的 2 杨善超(2002 ) 。
英文摘要:
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.