cartcart

    Nonparametric and Semiparametric Models (Springer Series in Statistics)

     
    Nonparametric and Semiparametric Models (Springer Series in Statistics)

    Description

    The statistical and mathematical principles of smoothing with a focus on applicable techniques are presented in this book. It naturally splits into two parts: The first part is intended for undergraduate students majoring in mathematics, statistics, econometrics or biometrics whereas the second part is intended to be used by master and PhD students or researchers. The material is easy to accomplish since the e-book character of the text gives a maximum of flexibility in learning (and teaching) intensity.

    Product details

    EAN/ISBN:
    9783642620768
    Edition:
    Softcover reprint of the original 1st ed. 2004
    Medium:
    Paperback
    Number of pages:
    332
    Publication date:
    2013-10-04
    Publisher:
    Springer
    EAN/ISBN:
    9783642620768
    Edition:
    Softcover reprint of the original 1st ed. 2004
    Medium:
    Paperback
    Number of pages:
    332
    Publication date:
    2013-10-04
    Publisher:
    Springer

    Shipping

    laposte
    The edition supplied may vary.
    Currently sold out