DocumentCode
887789
Title
Approximation of distribution and density functions
Author
Blaydon, C.C.
Volume
55
Issue
2
fYear
1967
Firstpage
231
Lastpage
232
Abstract
Stochastic approximation algorithms are used to construct least squares error approximations to density and distribution functions. The approximation is linear in terms of the parameters to be estimated. The only information available to the algorithm is a sequence of independent samples from the distribution of density being approximated.
Keywords
Approximation algorithms; Automatic control; Density functional theory; Distribution functions; Force control; Integral equations; Least squares approximation; Pattern recognition; Random variables; Stochastic processes;
fLanguage
English
Journal_Title
Proceedings of the IEEE
Publisher
ieee
ISSN
0018-9219
Type
jour
DOI
10.1109/PROC.1967.5454
Filename
1447384
Link To Document