Electronic Resource
Springer
Annals of the Institute of Statistical Mathematics
43 (1991), S. 115-129
ISSN:
1572-9052
Keywords:
Confidence intervals
;
bootstrapping
;
asymptotic normality
;
error inference
Source:
Springer Online Journal Archives 1860-2000
Topics:
Mathematics
Notes:
Abstract This study examines means for inferring the distribution of the error in nonparametric regression. The central objective is to develop confidence intervals for nonparametric regression. Our computational study would seem to affirm that our methods are potentially useful in cases of small sample size or heterogeneously distributed error. Theoretical developments offer sufficient conditions for asymptotic normality.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/BF00116472
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