Description

This book concerns testing hypotheses in non-parametric models. Classical non-parametric tests (goodness-of-fit, homogeneity, randomness, independence) of complete data are considered. Most of the test results are proved and real applications are illustrated using examples. Theories and exercises are provided. The incorrect use of many tests applying most statistical software is highlighted and discussed.

Nonparametric Tests for Complete Data

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Hardback by Vilijandas Bagdonavicius , Julius Kruopis

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This book concerns testing hypotheses in non-parametric models. Classical non-parametric tests (goodness-of-fit, homogeneity, randomness, independence) of complete data are considered.... Read more

    Publisher: ISTE Ltd and John Wiley & Sons Inc
    Publication Date: 07/12/2010
    ISBN13: 9781848212695, 978-1848212695
    ISBN10: 1848212690

    Number of Pages: 320

    Non Fiction , Mathematics & Science , Education

    Description

    This book concerns testing hypotheses in non-parametric models. Classical non-parametric tests (goodness-of-fit, homogeneity, randomness, independence) of complete data are considered. Most of the test results are proved and real applications are illustrated using examples. Theories and exercises are provided. The incorrect use of many tests applying most statistical software is highlighted and discussed.

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