Scaling functions for finite-size corrections in extreme statistics
Seminar Room 1, Newton Institute
Applications of extreme statistics are hindered by the notoriously slow convergence of the distributions to their limiting forms, thus studies of finite-size corrections are called for. Here we undertake a systematic investigation of the finite-size scaling functions and their universal aspects for the classical extreme statistics of i.i.d. variables, as well as for strongly correlated variables such as occuring in various surface growth problems.