Empirical Distributions and Processes : Selected Papers from a Meeting at Oberwolfach, March 28 April 3, 1976
Na minha lista:
| Outros Autores: | , |
|---|---|
| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado em: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Colecção: | Lecture notes in mathematics
566 |
| Assuntos: | |
| Acesso em linha: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Empirical distributions and processes, selected papers from a meeting at Oberwolfach, March 28 - April 3, 1976, edited by P. Gaenssler and P. Révész, 1976, Berlin [etc.], Springer-Verlag, 1 vol. (146 p.), Lecture notes in mathematics, 3-540-08061-9 • Empirical Distributions and Processes, Texte imprimé, 9783662192320 |
Sumário:
- Weak approximations of the empirical process when parameters are estimated
- On the Erdös-Rényi increments and the P. Lévy modulus of continuity of a kiefer process
- Kolmogorov-smirnov tests when parameters are estimated
- On uniform convergence of measures with applications to uniform convergence of empirical distributions
- An alternative approach to glivenko-cantelli theorems
- Weak convergence under contiguous alternatives of the empirical process when parameters are estimated: The Dk approach
- Almost sure invariance principles for empirical distribution functions of weakly dependent random variables
- Three theorems of multivariate empirical process
- Weak convergence to stable laws by means of a weak invariance principle
- A necessary condition for the convergence of the isotrope discrepancy
- Two examples concerning uniform convergence of measures w.r.t. balls in Banach spaces.