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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kravchenko, V.F. Churikov, D.V. |
| Copyright Year | 2011 |
| Description | Author affiliation: Kotel'nikov Institute of Radio Engineering and Electronics of RAS, Moscow, Russia (Kravchenko, V.F.; Churikov, D.V.) |
| Abstract | Nonparametric estimations of probability density function (PDF) [1–3] and its derivatives are considered. New constructions of weight functions (WF) [4, 5] with the compact support are offered and proved, allowing to build admissible estimations, both the density of probability and its derivatives 1st and 2nd orders. The numerical experiment and the physical analysis of its results confirm efficiency of nonparametric characteristics estimation of stochastic process. |
| Starting Page | 103 |
| Ending Page | 105 |
| File Size | 2723294 |
| Page Count | 3 |
| File Format | |
| ISBN | 9781457715778 |
| e-ISBN | 9781457715792 |
| DOI | 10.1109/DD.2011.6094374 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-05-30 |
| Publisher Place | Russia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Estimation Probability density function Atomic measurements Diffraction Time frequency analysis Stochastic processes Image processing |
| Content Type | Text |
| Resource Type | Article |
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