Nonparametric Tests for Complete Data eBook
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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.

About the book
Author
Vilijandas  Bagdonavicius , Julius  Kruopis , Mikhail S.  Nikulin
Imprint
Wiley-ISTE
Collection
n.c
Publication date
2013-02-04
Pages
320 pages
Print ISBN
9781848212695
Language
English
Ebook informations
EAN PDF
9781118601600
Price
£155.03
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Copy count 0
Print count 320
File size 2150 Ko
Ce livre est accessible aux handicaps   Informations accessibility
EAN EPUB
9781118601822
Price
£155.03
Read more
Copy count 0
Print count 320
File size 5345 Ko
Ce livre est accessible aux handicaps   Informations accessibility
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