Comparing Distributions

Comparing Distributions refers to the statistical data analysis that encompasses the traditional goodness-of-fit testing. Whereas the latter includes only formal statistical hypothesis tests for the one-sample and the K-sample problems, this book presents a more general and informative treatment by...

Ausführliche Beschreibung

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Bibliographische Detailangaben
1. Verfasser: Thas, Olivier
Format: Livre numérique
Sprache:Anglais
Veröffentlicht: New York, NY : Springer New York : Springer e-books : Imprint: Springer : Springer e-books [20..].
Cham : Springer Nature
Ausgabe:First.
Schriftenreihe:Springer Series in Statistics
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Anmerkung: Archives Springer e-books (Licence nationale)
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Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Comparing distributions, Olivier Thas, New York, Springer, 2010, 1 vol. (XVIII-353 p.), Springer series in statistics, 978-0-387-92709-1
Inhaltsangabe:
  • Part I One-sample problems Introduction Preliminaries (building blocks) Graphic tools Smooth tests Methods based on the empirical distribution function Part II Two-sample and K-sample problems Introduction Preliminaries (building blocks) Graphical tools Some important two-sample tests Smooth tests Methods based on the empirical distribution function Two final methods and some final thoughts