Suppose that {Xn: n ^ 1} are independent and identically distributed random variables with common continuous distribution function F. Set Sn = Xt +... + Xn and Mn = V" * i, and let X[l) be the term of maximum modulus, i.e. the Xt among Xu...,Xn for which | Xt | is largest. The influence of the extreme terms on the sample sum is studied by examining the behaviour of Sn/X[l) and Sn/Mn. The main results centre about conditions for these quantities to converge to 1 in probability and almost surely. Related results deal with ratios of order statistics and ratios of record values of {Xn}. A novel feature of our approach is to study the behaviour of {SB} between successive record values of {\Xn\}. 1. Introduction an
Let $(X-m)^\infty_1$ be a sequence of independent and identically distributed random variables. We g...
Let {Xn,n[greater-or-equal, slanted]1} be a sequence of independent identically distributed random v...
SUMMARY. Let {Xt} be a strictly stationary sequence of m-dependent random variables on (Ω,Σ, P) with...
This study is about the stability of random sums and extremes.The difficulty in finding exact sampli...
Let {ξ 1 ,ξ 2 ,...} be a sequence of independent random variables, and η be a count- ing random vari...
International audienceFluctuations of global additive quantities, like total energy or magnetization...
The limiting behaviour of observed and all random variables in the max limit schema was considered ...
Let 0 < p ≤ 2, let {Xn; n ≥ 1} be a sequence of independent copies of a real-val...
AbstractLet Sn denote the partial sum of an i.i.d. sequence of centred random variables having a fin...
58 pages, review paperInternational audienceFluctuations of global additive quantities, like total e...
Let $(X-m)^\infty_1$ be a sequence of independent and identically distributed random variables. We g...
The goal of this paper is to show that, in most strong laws of large numbers, the nth partial sum ca...
Let {Xk, k = 1, 2,...} be a sequence of independent random variables with common subexponential dist...
Let X_2, X_2, ... be a sequence of independent and identically distributed random variables with dis...
In this paper we derive limit theorems of some general functions of independent and identically dist...
Let $(X-m)^\infty_1$ be a sequence of independent and identically distributed random variables. We g...
Let {Xn,n[greater-or-equal, slanted]1} be a sequence of independent identically distributed random v...
SUMMARY. Let {Xt} be a strictly stationary sequence of m-dependent random variables on (Ω,Σ, P) with...
This study is about the stability of random sums and extremes.The difficulty in finding exact sampli...
Let {ξ 1 ,ξ 2 ,...} be a sequence of independent random variables, and η be a count- ing random vari...
International audienceFluctuations of global additive quantities, like total energy or magnetization...
The limiting behaviour of observed and all random variables in the max limit schema was considered ...
Let 0 < p ≤ 2, let {Xn; n ≥ 1} be a sequence of independent copies of a real-val...
AbstractLet Sn denote the partial sum of an i.i.d. sequence of centred random variables having a fin...
58 pages, review paperInternational audienceFluctuations of global additive quantities, like total e...
Let $(X-m)^\infty_1$ be a sequence of independent and identically distributed random variables. We g...
The goal of this paper is to show that, in most strong laws of large numbers, the nth partial sum ca...
Let {Xk, k = 1, 2,...} be a sequence of independent random variables with common subexponential dist...
Let X_2, X_2, ... be a sequence of independent and identically distributed random variables with dis...
In this paper we derive limit theorems of some general functions of independent and identically dist...
Let $(X-m)^\infty_1$ be a sequence of independent and identically distributed random variables. We g...
Let {Xn,n[greater-or-equal, slanted]1} be a sequence of independent identically distributed random v...
SUMMARY. Let {Xt} be a strictly stationary sequence of m-dependent random variables on (Ω,Σ, P) with...