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Nonparametric Tests for Complete Data PDF

321 Pages·2011·3.784 MB·English
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About Nonparametric Tests for Complete Data

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.

Detailed Information

Author:Vilijandas Bagdonavi?us, Julius Kruopis, Mikhail Nikulin
Publication Year:2011
ISBN:9781848212695
Pages:321
Language:English
File Size:3.784
Format:PDF
Price:FREE
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