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    Nonparametric Tests for Complete Data (repost)

    Posted By: libr
    Nonparametric Tests for Complete Data (repost)

    Nonparametric Tests for Complete Data (ISTE) by Vilijandas Bagdonavièus, Julius Kruopis and Mikhail Nikulin
    English | ISBN: 1848212690 | 2011 | 320 pages | PDF | 3,8 MB

    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.