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Limit distributions of the maximal distance to the nearest neighbour
O. P. Orlov Lomonosov Moscow State University
Abstract:
For sets of iid random points having a uniform (in a definite sense) distribution on the arbitrary metric space a maximal distance to the nearest neighbour is considered. By means of the Chen–Stein method new limit theorems for this random variable is proved. For random uniform samples from the set of binary cube vertices analogous results are obtained by the methods of moments.
Keywords:
random points in a metric space, maximal distance to the nearest neighbour, limit distributions, binary cube.
Received: 17.02.2018
Citation:
O. P. Orlov, “Limit distributions of the maximal distance to the nearest neighbour”, Diskr. Mat., 30:3 (2018), 88–98; Discrete Math. Appl., 29:6 (2019), 373–381
Linking options:
https://www.mathnet.ru/eng/dm1536https://doi.org/10.4213/dm1536 https://www.mathnet.ru/eng/dm/v30/i3/p88
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Abstract page: | 332 | Full-text PDF : | 52 | References: | 40 | First page: | 20 |
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