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Strong measures of concordance and convergence in probability
- Source :
- Decisions in Economics and Finance, Decisions in Economics and Finance, Springer-Verlag, 1984, Vol. 7, N°1-2, pp. 39-44. ⟨10.1007/BF02106373⟩
- Publication Year :
- 1984
- Publisher :
- HAL CCSD, 1984.
-
Abstract
- International audience; It is shown that convergence in probability is sufficient for a strong measure of concordance to converge to one, and that convergence to one of a strong measure of concordance, along with convergence in law, is sufficient for convergence in probability; Si mostra che la convergenza in probabilità è condizione sufficiente perché una misura forte della concordanza converga a uno, e che la convergenza a uno di una misura forte della concordanza, insieme con la convergenza in legge, è condizione sufficiente per la convergenza in probabilità.
- Subjects :
- concordance
convergence
Concordance
Normal convergence
probability
Astrophysics::Cosmology and Extragalactic Astrophysics
Mathematics::Geometric Topology
Strong measures
Convergence of random variables
[SHS.ECO.ECO]Humanities and Social Sciences/Economics and Finance/domain_shs.eco.eco
Statistics
Proofs of convergence of random variables
Convergence tests
Convergence (relationship)
General Economics, Econometrics and Finance
Random variable
Finance
Mathematics
Probability measure
Subjects
Details
- Language :
- English
- ISSN :
- 11271035 and 11296569
- Database :
- OpenAIRE
- Journal :
- Decisions in Economics and Finance, Decisions in Economics and Finance, Springer-Verlag, 1984, Vol. 7, N°1-2, pp. 39-44. ⟨10.1007/BF02106373⟩
- Accession number :
- edsair.doi.dedup.....d6f22905e91082e65ae04ebee99a2277