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...
Gespeichert in:
| 1. Verfasser: | |
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| 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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| Online Zugang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Anmerkung: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| 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

