  Let $X_{1,n}\le\cdots\le X_{n,n}$ be the order statistics of $n$ independent
random variables with a common distribution function $F$ having right heavy
tail with tail index $\gamma$. Given known constants $d_{i,n}$, $1\le i\le n$,
consider the weighted power sums
$\sum^{k_n}_{i=1}d_{n+1-i,n}\log^pX_{n+1-i,n}$, where $p>0$ and the $k_n$ are
positive integers such that $k_n\to\infty$ and $k_n/n\to0$ as $n\to\infty$.
Under some constraints on the weights $d_{i,n}$, we prove asymptotic normality
for the power sums over the whole heavy-tail model. We apply the obtained
result to construct a new class of estimators for the parameter $\gamma$.
