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Nonparametric Tests For Complete Data eBook

by Julius Kruopis, Mikhail S. Nikulin e Vilijandas Bagdonavicius
language: english
Publisher: WILEY, February of 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.

Nonparametric Tests For Complete Data

by Julius Kruopis, Mikhail S. Nikulin e Vilijandas Bagdonavicius

Property Description
ISBN: 9781118601600
Publisher: WILEY
Release Date: February of 2013
Language: English
Format: eBook
File Format and Compatibility: PDF para ADE
Collection: Iste
Categories: eBooks in English > Science > Mathematics
EAN: 9781118601600