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ON COMPLETE CONVERGENCE OF NONPARAMETRIC REGRESSION M-QUANTILES

ON COMPLETE CONVERGENCE OF NONPARAMETRIC REGRESSION M-QUANTILES
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摘要 Consider the nonparametric regression model Y_i=m(x_i)+ε_i,i=1,…,n,where m(?)is an unknown function,and the design points x_i are knownand nonrandom.The robust nonparametric estimators were introduced by H(?)rdleand Gasser in 1984.These estimators can be viewed as regression M-quantiles.We then establish complete convergence for such quantiles under only the finitemoment condition. Consider the nonparametric regression model Y_i=m(x_i)+ε_i,i=1,…,n,where m(?)is an unknown function,and the design points x_i are knownand nonrandom.The robust nonparametric estimators were introduced by H(?)rdleand Gasser in 1984.These estimators can be viewed as regression M-quantiles.We then establish complete convergence for such quantiles under only the finitemoment condition.
出处 《Systems Science and Mathematical Sciences》 SCIE EI CSCD 1992年第3期227-232,共6页
基金 Supported by Fok Yingtung Education Fund,the National Natural Science Foundation of China and Zhejiang Province
关键词 NONPARAMETRIC KERNEL type ESTIMATOR M-smoother QUANTILE complete convergence Nonparametric kernel type estimator M-smoother quantile complete convergence
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