Permutation, Parametric and Bootstrap Tests of Hypotheses
This text will equip both practitioners and theorists with the necessary background in testing hypothesis and decision theory to enable innumerable practical applications of statistics. Its intuitive and informal style makes it suitable as a text for both students and researchers. It can serve as th...
Gorde:
| Egile nagusia: | |
|---|---|
| Formatua: | Livre numérique |
| Hizkuntza: | Anglais |
| Argitaratua: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Edizioa: | 3rd Edition. |
| Saila: | Springer Series in Statistics
|
| Gaiak: | |
| Sarrera elektronikoa: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Oharra: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Permutation, parametric, and bootstrap tests of hypotheses, Phillip Good, 3rd edition, Huntington Beach, Springer, 2005, 1 vol. (XIX-315 p.), Springer séries in statistics, 0-387-20279-X |
Aurkibidea:
- A Wide Range of Applications Optimal Procedures Testing Hypotheses Distributions Multiple Tests Experimental Designs Multifactor Designs Categorical Data Multivariate Analysis Clustering in Time and Space Coping with Disaster Solving the Unsolved and the Insolvable Publishing Your Results Increasing Computational Efficiency