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  • Artur Gramacki
    978-3-319-71688-6
    2018
    Edition 1
    • Contains both background information and much more sophisticated material on kernel density estimation (KDE), its computational aspects, and its applications
    • Describes in detail computational-like problems related to KDE
    • Includes R source codes for replicating all the figures included in the book—making it a good source for newcomers to the field
    • Includes supplementary material: sn.pub/extras

    €260

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