Non-parametric Tests for Complete Data

Non-parametric Tests for Complete Data

Author(s): Vilijandas Bagdonavičius, Kruopis Julius, Mikhail S. Nikulin

Published Online: 14 FEB 2013

Print ISBN: 9781848212695

Online ISBN: 9781118557716

DOI: 10.1002/9781118557716

About this Book

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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