Limit theorems for tail processes with application to intermediate quantile estimation
- 31 July 1992
- journal article
- Published by Elsevier in Journal of Statistical Planning and Inference
- Vol. 32 (1) , 137-145
- https://doi.org/10.1016/0378-3758(92)90156-m
Abstract
No abstract availableThis publication has 12 references indexed in Scilit:
- The A.S. Behavior of the Weighted Empirical Process and the LIL for the Weighted Tail Empirical ProcessThe Annals of Probability, 1992
- Nonstandard Functional Laws of the Iterated Logarithm for Tail Empirical and Quantile ProcessesThe Annals of Probability, 1990
- The empirical distribution function as a tail estimatorStatistica Neerlandica, 1990
- Strong Limit Theorems for Weighted Quantile ProcessesThe Annals of Probability, 1988
- Almost sure convergence of the Hill estimatorMathematical Proceedings of the Cambridge Philosophical Society, 1988
- Laws of the Iterated Logarithm in the Tails for Weighted Uniform Empirical ProcessesThe Annals of Probability, 1988
- Approximation of intermediate quantile processesJournal of Multivariate Analysis, 1987
- On the tail behaviour of quantile processesStochastic Processes and their Applications, 1987
- Weighted Empirical and Quantile ProcessesThe Annals of Probability, 1986
- A Simple General Approach to Inference About the Tail of a DistributionThe Annals of Statistics, 1975