Abstract
ABSTRACTIn this article, we show that linearly normalized partial maxima of random observations from a three-parameter lognormal distribution converges weakly to a Gumbel distribution and establish a strong convergence theorem. We also discuss the asymptotic behavior of the number of near-maxima and sum of near-maxima random variables.
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