  The objects of our interest are the so-called $A$-permutations, which are
permutations whose cycle length lie in a fixed set $A$. They have been
extensively studied with respect to the uniform or the Ewens measure. In this
paper, we extend some classical results to a more general weighted probability
measure which is a natural extension of the Ewens measure and which in
particular allows to consider sets $A_n$ depending on the degree $n$ of the
permutation. By means of complex analysis arguments and under reasonable
conditions on generating functions we study the asymptotic behaviour of
classical statistics. More precisely, we generalize results concerning large
cycles of random permutations by Vershik, Shmidt and Kingman, namely the weak
convergence of the size ordered cycle length to a Poisson-Dirichlet
distribution. Furthermore, we apply our tools to the cycle counts and obtain a
Brownian motion central limit theorem which extends results by DeLaurentis,
Pittel and Hansen.

Probability