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Nonparametric Tests for Complete Data
by Mikhail NikulinJulius Kruopis, and Vilijandas Bagdonavius
eBook, Published by Wiley (04 February 2013)
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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. 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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