Equality of Types for the Distribution of the Maximum for Two Values of n Implies Extreme Value Type |
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Authors: | Peter J. Bickel Anat Sakov |
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Affiliation: | (1) Department of Statistics, University of California, Berkeley, CA, 94720–3860;(2) Faculty of Industrial Engineering and Management, Technion, Haifa, 32000, Israel |
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Abstract: | In this note, we prove a characterization of extreme value distributions. We show that, under some conditions, if the distribution of the maximum of n i.i.d. variables is of the same type for two distinct values of n then the distribution is one of the three extreme value types. This is an analogue of the well known result that if the sum of two i.i.d. random variables with finite second moment is of the same type as the original distribution then the distribution is Gaussian (Kagan et al., 1973). Our result was motivated by study of the m out of n bootstrap. |
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Keywords: | extrema domain of attraction convergence to types characterization |
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