The theta-dependence coefficient and an Almost Sure Limit Theorem for random iterative models
| Autor: | Michel Weber, Rita Giuliano-Antonini |
|---|---|
| Přispěvatelé: | Institut de Recherche Mathématique Avancée (IRMA), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS) |
| Rok vydání: | 2008 |
| Předmět: |
Statistics and Probability
Discrete mathematics Picard–Lindelöf theorem Iterative method Wiener–Khinchin theorem Random sequence [MATH.MATH-PR]Mathematics [math]/Probability [math.PR] Combinatorics Convergence of random variables Probability theory Physical Sciences Limit (mathematics) Statistics Probability and Uncertainty Mean value theorem Mathematics |
| Zdroj: | Statistics and Probability Letters Statistics and Probability Letters, Elsevier, 2009, 78 (5), pp.564. ⟨10.1016/j.spl.2007.09.008⟩ |
| ISSN: | 0167-7152 |
| DOI: | 10.1016/j.spl.2007.09.008 |
| Popis: | International audience; We prove a weighted Almost Sure Limit Theorem in the setting of random iterative models. This theorem generalizes previous results obtained for sequences of normalized partial sums and some other classes of random sequences. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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