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Problemy Peredachi Informatsii, 2000, Volume 36, Issue 4, Pages 80–88 (Mi ppi497)  

Methods of Signal Processing

How to Improve the Nonparametric Density Estimate in S-PLUS

L. L. Boiko, G. K. Golubev
References:
Abstract: Some properties of nonparametric estimates of probability density used in the interactive statistical data analysis package S-PLUS are discussed. A simple and efficient (from computational point of view) method for constructing nonparametric density estimates is suggested. In many situations, this method (based on splines) substantially dominates kernel estimates and, in particular, the estimate used in S-PLUS.
Received: 24.05.2000
Bibliographic databases:
Document Type: Article
UDC: 621.391.1:519.27
Language: Russian
Citation: L. L. Boiko, G. K. Golubev, “How to Improve the Nonparametric Density Estimate in S-PLUS”, Probl. Peredachi Inf., 36:4 (2000), 80–88; Problems Inform. Transmission, 36:4 (2000), 354–361
Citation in format AMSBIB
\Bibitem{BoiGol00}
\by L.~L.~Boiko, G.~K.~Golubev
\paper How to Improve the Nonparametric Density Estimate in~S-PLUS
\jour Probl. Peredachi Inf.
\yr 2000
\vol 36
\issue 4
\pages 80--88
\mathnet{http://mi.mathnet.ru/ppi497}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=1813655}
\zmath{https://zbmath.org/?q=an:0971.62015}
\transl
\jour Problems Inform. Transmission
\yr 2000
\vol 36
\issue 4
\pages 354--361
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    Проблемы передачи информации Problems of Information Transmission
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