AbstractA theorem on regularly varying functions in R2 is proved and applied to domains of attraction of stable laws with index 1 ⩽ α ⩽ 2. We also present a theory of Π-variation in R2. Unlike the situation in R1 the latter is not connected with domain of attraction theory. The situation in Rd (d > 1) is more complicated but not essentially different; for simplicity we limit ourselves to R2. This article complements de Haan and Resnick (1979) where the situation for 0 < α < 1 was considered
We study limiting distributions of exponential sums $S_N(t)=\sum_{i=1}^N e^{tX_i}$ as $t\to\infty$, ...
AbstractUniform approximation of functions of a real or a complex variable by a class of linear oper...
A method of random integral representation, that is, a method of representing a given probability me...
AbstractIn R2 the integral of a regularly varying (RV) function f is regularly varying only if f is ...
AbstractWe derive and analyze the properties of Euler-Maclaurin expansions for the differences ∝s∝ x...
AbstractLet X1, X2,… be i.i.d. random variables with continuous distribution function F < 1. It is k...
AbstractA general form for regular variation in IR2 is introduced and applied to domains of attracti...
AbstractThe asymptotic behaviour for t → ∞ of ʃ∞0 exp[tx–c(x)]dx is studied. The function c is posit...
AbstractGut and Spătaru (J. Math. Anal. Appl. 248 (2000) 233–246) proved a precise asymptotic theore...
In dieser Arbeit werden verschiedene Aspekte des Extremwertverhaltens von Verteilungen m...
Asymptotics of the tail probability for L^1 -norm of the centered Brownian bridge is obtained
AbstractLet {Y,Yi;i≥1} be a sequence of nondegenerate, independent and identically distributed rando...
We consider a distribution equation which was initially studied by Bertoin \cite{Bertoin}: \[M \stac...
AbstractApproximate formulas for the derivatives of functions of several variables contaminated by n...
The article begins with a quantitative version of the martingale central limit theorem, in terms of ...
We study limiting distributions of exponential sums $S_N(t)=\sum_{i=1}^N e^{tX_i}$ as $t\to\infty$, ...
AbstractUniform approximation of functions of a real or a complex variable by a class of linear oper...
A method of random integral representation, that is, a method of representing a given probability me...
AbstractIn R2 the integral of a regularly varying (RV) function f is regularly varying only if f is ...
AbstractWe derive and analyze the properties of Euler-Maclaurin expansions for the differences ∝s∝ x...
AbstractLet X1, X2,… be i.i.d. random variables with continuous distribution function F < 1. It is k...
AbstractA general form for regular variation in IR2 is introduced and applied to domains of attracti...
AbstractThe asymptotic behaviour for t → ∞ of ʃ∞0 exp[tx–c(x)]dx is studied. The function c is posit...
AbstractGut and Spătaru (J. Math. Anal. Appl. 248 (2000) 233–246) proved a precise asymptotic theore...
In dieser Arbeit werden verschiedene Aspekte des Extremwertverhaltens von Verteilungen m...
Asymptotics of the tail probability for L^1 -norm of the centered Brownian bridge is obtained
AbstractLet {Y,Yi;i≥1} be a sequence of nondegenerate, independent and identically distributed rando...
We consider a distribution equation which was initially studied by Bertoin \cite{Bertoin}: \[M \stac...
AbstractApproximate formulas for the derivatives of functions of several variables contaminated by n...
The article begins with a quantitative version of the martingale central limit theorem, in terms of ...
We study limiting distributions of exponential sums $S_N(t)=\sum_{i=1}^N e^{tX_i}$ as $t\to\infty$, ...
AbstractUniform approximation of functions of a real or a complex variable by a class of linear oper...
A method of random integral representation, that is, a method of representing a given probability me...