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ESTIMATING ERROR CORRELATION IN NONPARAMETRIC REGRESSION
被引:9
|作者:
ALTMAN, NS
[1
]
机构:
[1] CORNELL UNIV,BIOMETR UNIT,ITHACA,NY 14853
基金:
加拿大自然科学与工程研究理事会;
关键词:
KERNEL SMOOTHING;
CORRELATED ERRORS;
METHOD OF MOMENTS;
TIME SERIES;
AUTOCORRELATION;
D O I:
10.1016/0167-7152(93)90219-9
中图分类号:
O21 [概率论与数理统计];
C8 [统计学];
学科分类号:
020208 ;
070103 ;
0714 ;
摘要:
Estimates of error correlations in kernel nonparametric regression are obtained using the method of moments. A high order asymptotic expansion of the estimators shows that they are consistent and asymptotically normal at parametric rates, and provides heuristics for the choice of bandwidth and kernel.
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页码:213 / 218
页数:6
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