U-max-statistics and limit theorems for perimeters and areas of random polygons

被引:5
|
作者
Koroleva, E. V. [1 ]
Nikitin, Ya. Yu. [2 ,3 ]
机构
[1] Univ Roma Tor Vergata, Facolta Econ, I-00133 Rome, Italy
[2] St Petersburg State Univ, Dept Math & Mech, St Petersburg 198504, Russia
[3] Natl Res Univ, Higher Sch Econ, St Petersburg 190008, Russia
关键词
U-max statistics; Weibull distribution; Random perimeter; Random area; Inscribed polygon;
D O I
10.1016/j.jmva.2014.02.006
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Recently Lao and Mayer (2008) considered U-max-statistics, where the maximum of kernels over the set of indices is studied instead of the usual sums. Such statistics emerge frequently in stochastic geometry. The examples include the largest distance between random points in a ball, the maximal diameter of a random polygon, the largest scalar product within a sample of points, etc. Their limit distributions are related to the distributions of extreme values. Among the results obtained by Lao and Mayer, the limit theorems for the maximal perimeter and the maximal area of random triangles inscribed in a circumference are of great interest. In the present paper, we generalize these theorems to the case of convex m-polygons, m >= 3, with random vertices on the circumference. In addition, a similar problem for the minimal perimeter and the minimal area of circumscribed m-polygons is solved in this paper. This problem has not been studied in the literature so far. (C) 2014 Elsevier Inc. All rights reserved.
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页码:98 / 111
页数:14
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