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
by an empirical function
,, based on a sample of size
from
, a widely used performance measure is the mean integrated squared error. For the wellknown
-function type of
, the asymptotic behavior of this measure is shown to be essentially unchanged if
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.
by an empirical function
,, based on a sample of size
from
, a widely used performance measure is the mean integrated squared error. For the wellknown
-function type of
, the asymptotic behavior of this measure is shown to be essentially unchanged if
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