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    All of Nonparametric Statistics: A Concise Course in Nonparametric Statistical Inference (Springer Texts in Statistics)

     
    All of Nonparametric Statistics: A Concise Course in Nonparametric Statistical Inference (Springer Texts in Statistics)

    Description

    This text provides the reader with a single book where they can find accounts of a number of up-to-date issues in nonparametric inference. The book is aimed at Masters or PhD level students in statistics, computer science, and engineering. It is also suitable for researchers who want to get up to speed quickly on modern nonparametric methods. It covers a wide range of topics including the bootstrap, the nonparametric delta method, nonparametric regression, density estimation, orthogonal function methods, minimax estimation, nonparametric confidence sets, and wavelets. The book's dual approach includes a mixture of methodology and theory.

    Product details

    EAN/ISBN:
    9780387251455
    Edition:
    1st ed. 2005. Corr. 3rd. printing 2007
    Medium:
    Bound edition
    Number of pages:
    270
    Publication date:
    2007-07-15
    Publisher:
    Springer
    Languages:
    english
    Manufacturer:
    Unknown
    EAN/ISBN:
    9780387251455
    Edition:
    1st ed. 2005. Corr. 3rd. printing 2007
    Medium:
    Bound edition
    Number of pages:
    270
    Publication date:
    2007-07-15
    Publisher:
    Springer
    Languages:
    english
    Manufacturer:
    Unknown

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