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Asymptotic distribution of normalized maximum under finite mixture models

Listed author(s):
  • AL-Hussaini, Essam K.
  • El-Adll, Magdy E.
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    In this paper, we study the asymptotic distribution of the generally normalized maximum under finite mixture models. In one of the two theorems presented, we obtain a necessary and sufficient condition for this weak convergence, as well as the limit forms. The second theorem gives sufficient conditions for this convergence when the components of the mixture have different general normalizations. Examples are given to illustrate the applications of the two theorems.

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    Article provided by Elsevier in its journal Statistics & Probability Letters.

    Volume (Year): 70 (2004)
    Issue (Month): 1 (October)
    Pages: 109-117

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    Handle: RePEc:eee:stapro:v:70:y:2004:i:1:p:109-117
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    1. H.M. Barakat & E.M. Nigm & M.E. El-Adll, 2004. "Asymptotic properties of random extremes under general normalization from nonidentical distributions," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 59(3), pages 275-287, 06.
    2. Christoph, Gerd & Falk, Michael, 1996. "A note on domains of attraction of p-max stable laws," Statistics & Probability Letters, Elsevier, vol. 28(3), pages 279-284, July.
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