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Nonparametric Kernel Density Estimation and Its Computational Aspects - Studies in Big Data Artur Gramacki Softcover reprint of the original 1st ed. 2018 edition
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Nonparametric Kernel Density Estimation and Its Computational Aspects - Studies in Big Data
Artur Gramacki
This book describes computational problems related to kernel density estimation (KDE) – one of the most important and widely used data smoothing techniques.
176 pages, 100 Tables, color; 70 Illustrations, black and white; XXIX, 176 p. 70 illus.
| Medie | Bøger Paperback Bog (Bog med blødt omslag og limet ryg) |
| Udgivet | 4. juni 2019 |
| ISBN13 | 9783319890944 |
| Forlag | Springer International Publishing AG |
| Antal sider | 176 |
| Mål | 150 × 220 × 10 mm · 299 g |
| Sprog | Tysk |
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