A tail empirical process approach to some nonstandard laws of the iterated logarithm
- 1 January 1991
- journal article
- research article
- Published by Springer Nature in Journal of Theoretical Probability
- Vol. 4 (1) , 53-85
- https://doi.org/10.1007/bf01046994
Abstract
No abstract availableKeywords
This publication has 11 references indexed in Scilit:
- Nonstandard Functional Laws of the Iterated Logarithm for Tail Empirical and Quantile ProcessesThe Annals of Probability, 1990
- Almost sure convergence of the Hill estimatorMathematical Proceedings of the Cambridge Philosophical Society, 1988
- Large Deviations for Processes with Independent IncrementsThe Annals of Probability, 1987
- Strong laws for the k-th order statistic when k≦c log2 nProbability Theory and Related Fields, 1986
- A strong limit theorem for the oscillation modulus of the uniform empirical quantile processStochastic Processes and their Applications, 1984
- Strong limit theorems for oscillation moduli of the uniform empirical processProbability Theory and Related Fields, 1983
- Toward a universal law of the iterated logarithm, Part IIProbability Theory and Related Fields, 1977
- A theorem about probabilities of large deviations with an application to queuing theoryPeriodica Mathematica Hungarica, 1975
- A Functional Law of the Iterated Logarithm for Weighted Empirical DistributionsThe Annals of Probability, 1975
- The Law of the Iterated Logarithm for Empirical DistributionThe Annals of Mathematical Statistics, 1971