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Domains of attraction and moments      Domains  attraction  moments        2009/9/24
The limit behaviour of scalar modifications of powers of probability measures under a generalized convolution is considered. In particular, some necessary and sufTtcient wnditions in terms of momen...
A supplementary characterization of Banach spaces in terms of conditions on the tail behavior of L h y measurcs is given. A criterion for attraction to a stable law in the operator setting IS prove...
Suppose X, XI, X,, ... are i.i.d. random vectors, S, = z:= Xi and A, are linear operators such that A, S, converges in law to some full random vector I: Then we say that X belongs to the shkt gener...
We show that a random variable X lies in the strict domain of attraction of a non-degenerate strictly stable random variable Z with exponent ~a]O,2[ iff the q-transform of X lies in the strict doma...
The theory of stable probability distributions and their domains of attraction is derived in a direct way (avoiding the usual route via infinitely divisible distributions) using Fourier transforms. ...
Let (X,) be a squence of independent real vatued random variabl~sA. suitable convergk:nce condition far affine normalimned maxima of (XJ k @given in the seBLjstable setup, i.e. fur inmasing samplir...

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