Nonparametric Kernel Density Estimation and Its Computational Aspects - Studies in Big Data - Artur Gramacki - Books - Springer International Publishing AG - 9783319890944 - June 4, 2019
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Artur Gramacki
Nonparametric Kernel Density Estimation and Its Computational Aspects - Studies in Big Data Softcover reprint of the original 1st ed. 2018 edition

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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.

Media Books     Paperback Book   (Book with soft cover and glued back)
Released June 4, 2019
ISBN13 9783319890944
Publishers Springer International Publishing AG
Pages 176
Dimensions 150 × 220 × 10 mm   ·   299 g
Language German  

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