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Nonparametric tests for complete data

✍ Scribed by Bagdonavicius V., Kruopis J., Nikulin M.


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English
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321
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Library

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✦ Synopsis


Wiley. 2011 - 320 pages. ISBN: 1848212690, 978-1848212695.
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.

✦ Subjects


Математика;Теория вероятностей и математическая статистика;Обработка результатов измерений


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