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In this paper, higher-order expansions for distributions and densities ofpowered extremes of standard normal random sequences are established under anoptimal choice of normalized constants. Our findings refine the related resultsin Hall (1980). Furthermore, it is shown that the rate of convergence ofdistributions/densities of normalized extremes depends in principle on thepower index.

Higher-order expansions of powered extremes of normal samples