Asymptotic expansions of density of normalized extremes from logarithmic general error distribution

Shouquan Chen and Lingling Du

Communications in Statistics - Theory and Methods, 2017, vol. 46, issue 7, 3459-3478

Abstract: Logarithmic general error distribution is an extension of the log-normal distribution. In this paper, the asymptotic expansions of densities of normalized maximum from logarithmic general error distribution are derived under two different kinds of normalized constants. By applying the main results, the higher-order expansions of moments of maxima are established.

Date: 2017
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DOI: 10.1080/03610926.2015.1062109

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