Results 1 to 10 of about 38 (38)
Stochastic orders of log-epsilon-skew-normal distributions
The log-epsilon-skew-normal distributions family is generalized class of log-normal distribution. Is widely used to model non-negative data in many areas of applied research.
Catana Luigi-Ionut
doaj +1 more source
Stochastic orders for a multivariate Pareto distribution
In this article we give some theoretical results for equivalence between different stochastic orders of some kind multivariate Pareto distribution family.
Catana Luigi-Ionut
doaj +1 more source
Multiplier bootstrap of tail copulas - with applications [PDF]
In the problem of estimating the lower and upper tail copula we propose two bootstrap procedures for approximating the distribution of the corresponding empirical tail copulas.
Dette, Holger, Bücher, Axel
core +1 more source
New estimators of the Pickands dependence function and a test for extreme-value dependence [PDF]
We propose a new class of estimators for Pickands dependence function which is based on the best L2-approximation of the logarithm of the copula by logarithms of extreme-value copulas.
Volgushev, Stanislav +5 more
core +1 more source
Primary 60G70, 62G10, 62G32, 62M02, secondary 60F10, 60G15, 62J05, Change-point problem, Quality control, Regression models, Partial sums processes, Signal-plus-noise model, Brownian motion with trend, Tests of Kolmogorov type, Extreme values, Large ...
Jürg Hüsler +7 more
core +1 more source
In this article we present a stochastic ordering verification algorithm between multivariate discrete distributions implemented in the C++ programming language.
Catana Luigi-Ionut
doaj +1 more source
Estimating Extreme Bivariate Quantile Regions [PDF]
AMS 2000 subject classifications.
de Haan, L.F.M. +2 more
core
Maximum Empirical Likelihood Estimation of the Spectral Measure of an Extreme Value Distribution [PDF]
AMS 2000 subject classifications: Primary 62G05, 62G30, 62G32; secondary 60G70, 60F05, 60F17, JEL: C13 ...
Einmahl, J.H.J., Segers, J.J.J.
core
In this paper nonparametric methods to assess the multivariate Lévy measure are introduced. Starting from high-frequency observations of a Lévy process X, we construct estimators for its tail integrals and the Pareto Lévy copula and prove weak ...
62m09, Axel Bücher, Mathias Vetter
core
Bias reduction in risk modelling: Semi-parametric quantile estimation
Heavy tails, high quantiles, semi-parametric estimation, bias reduction, statistics of extremes, Primary 62G32, 62E20, Secondary 65C05,
M. Gomes, Fernanda Figueiredo
core +1 more source

