Nonparametric Monte Carlo Tests and Their Applications
A fundamental issue in statistical analysis is testing the fit of a particular probability model to a set of observed data. Monte Carlo approximation to the null distribution of the test provides a convenient and powerful means of testing model fit. Nonparametric Monte Carlo Tests and Their Applicat...
Enregistré dans:
| Hovedforfatter: | |
|---|---|
| Format: | Livre numérique |
| Sprog: | Anglais |
| Udgivet: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Udgivelse: | 1st ed. 2005. |
| Serier: | Lecture Notes in Statistics
182 |
| Online adgang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Kommentar: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Nonparametric Monte Carlo tests and their applications, Lixing Zhu, 2005, New York, Springer, 1 vol. (XI-181 p.), Lecture notes in statistics, 0-387-25038-7 • Nonparametric Monte Carlo Tests and Their Applications, Texte imprimé, 9780387505640 • Nonparametric Monte Carlo tests and their applications, Lixing Zhu, 2005, New York, Springer, 1 vol. (XI-181 p.), Lecture notes in statistics, 0-387-25038-7 |