DocumentCode :
932845
Title :
Asymptotic mean integrated squared errors of some nonparametric density estimators (Corresp.)
Author :
Cheng, P.E. ; Serfling, R.J.
Volume :
27
Issue :
2
fYear :
1981
fDate :
3/1/1981 12:00:00 AM
Firstpage :
239
Lastpage :
242
Abstract :
For estimation of a probability density function f by an empirical function f_{n} ,, based on a sample of size n from f , a widely used performance measure is the mean integrated squared error. For the wellknown \\delta -function type of f_{n} , the asymptotic behavior of this measure is shown to be essentially unchanged if f_{n} is replaced by a recursive version. Also, this asymptotic behavior is characterized under somewhat milder smoothness restrictions but stronger tail restrictions than previously considered in the literature.
Keywords :
Nonparametric estimation; Autocorrelation; Circuits; Cutoff frequency; Density measurement; Noise generators; Probability density function; Sampling methods; Size measurement; Upper bound; White noise;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.1981.1056313
Filename :
1056313
Link To Document :
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