Nonparametric Tests for Complete Data

Nonfiction, Science & Nature, Mathematics, Statistics
Cover of the book Nonparametric Tests for Complete Data by Julius Kruopis, Vilijandas Bagdonavicius, Mikhail S. Nikulin, Wiley
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Author: Julius Kruopis, Vilijandas Bagdonavicius, Mikhail S. Nikulin ISBN: 9781118601822
Publisher: Wiley Publication: February 4, 2013
Imprint: Wiley-ISTE Language: English
Author: Julius Kruopis, Vilijandas Bagdonavicius, Mikhail S. Nikulin
ISBN: 9781118601822
Publisher: Wiley
Publication: February 4, 2013
Imprint: Wiley-ISTE
Language: English

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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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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