Abstract:
We propose a sequence of accompanying laws in the B. V. Gnedenko limit theorem
for maxima of independent random variables with distributions lying in the
Gumbel max domain of attraction. We show that this sequence provides
a power-law convergence rate, whereas the Gumbel distribution provides only
the logarithmic rate. As examples, we consider in detail the classes of
Weibull and log-Weibull type distributions. For the entire Gumbel max domain
of attraction, we propose a scale of classes of distributions that includes
these two classes as a starting point.