Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/31500
Title: Asymptotic behavior of central order statistics under monotone normalization
Authors: Pancheva, E.I. Gacovska, A.
Keywords: Central rank, k-th upper order statistic, Monotone normalization, Regular norming sequence
Issue Date: 2014
Publisher: Elsevier, SIAM
Source: Volume 58, Issue 1, 2014, Pages 107-120
Journal: Theory of Probability and its Applications
Series/Report no.: 58;1
Abstract: Smirnov [Trudy Mat. Inst. Steklov., 25 (1949), pp. 3-60 (in Russian); Amer. Math. Transl., 67 (1952) (in English)] derived four limit types of distributions for linearly normalized central order statistics under the weak convergence. In this paper we investigate the possible limit distributions of the kth upper order statistics with central rank using monotone regular norming sequences and obtain 13 possible types.
URI: http://hdl.handle.net/20.500.12188/31500
DOI: 10.1137/S0040585X97986436
Appears in Collections:Faculty of Natural Sciences and Mathematics, Institute of Mathematics: Journal Articles

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