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Problemy Peredachi Informatsii, 2000, Volume 36, Issue 4, Pages 80–88
(Mi ppi497)
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Methods of Signal Processing
How to Improve the Nonparametric Density Estimate in S-PLUS
L. L. Boiko, G. K. Golubev
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
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
Linking options:
https://www.mathnet.ru/eng/ppi497 https://www.mathnet.ru/eng/ppi/v36/i4/p80
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Statistics & downloads: |
Abstract page: | 294 | Full-text PDF : | 149 | References: | 49 |
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