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） t...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.展开更多
In this paper, the authors obtain the joint empirical likelihood confidence regions for a finite number of quantiles under negatively associated samples. As an application of this result, the empirical likelihood conf...In this paper, the authors obtain the joint empirical likelihood confidence regions for a finite number of quantiles under negatively associated samples. As an application of this result, the empirical likelihood confidence intervals for the difference of any two quantiles are also developed.展开更多
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)
文摘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.
基金supported by the National Natural Science Foundation of China under Grant Nos.1127108811361011+3 种基金11201088the Natural Science Foundation of Guangxi under Grant No.2013GXNSFAA0190042013 GXNSFAA 0190072013GXNSFBA019001
文摘In this paper, the authors obtain the joint empirical likelihood confidence regions for a finite number of quantiles under negatively associated samples. As an application of this result, the empirical likelihood confidence intervals for the difference of any two quantiles are also developed.
