Abstract:
In Nevzorov's $F^\alpha$-scheme, one deals with a sequence of independent
random variables with distribution functions that are powers of a common
continuous distribution function. A key property of the $F^\alpha$-scheme is
that the record indicators for such a sequence are independent. This allows
one to obtain several important limit theorems for the total number of
records in the sequence up to time $n\to\infty$. We extend these theorems to
a much more general class of sequences of random variables obeying a
"threshold $F^\alpha$-scheme" where the distribution functions of the
variables are close to the powers of a common $F$ only in their right tails,
above certain nonrandom nondecreasing threshold levels. Of independent
interest is the characterization of the growth rate for extremal processes
that we derive in order to verify the conditions of our main
theorem. We also establish the asymptotic pairwise independence of record
indicators in a special case of threshold $F^\alpha$-schemes.
Keywords:records, maxima of random variables, extremal process, growth rate, $F^\alpha$-scheme, almost sure behavior.