Limit distributions of the maximal distance to the nearest neighbour
Diskretnaya Matematika, Tome 30 (2018) no. 3, pp. 88-98
Voir la notice de l'article provenant de la source Math-Net.Ru
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.
@article{DM_2018_30_3_a7,
author = {O. P. Orlov},
title = {Limit distributions of the maximal distance to the nearest neighbour},
journal = {Diskretnaya Matematika},
pages = {88--98},
publisher = {mathdoc},
volume = {30},
number = {3},
year = {2018},
language = {ru},
url = {http://geodesic.mathdoc.fr/item/DM_2018_30_3_a7/}
}
O. P. Orlov. Limit distributions of the maximal distance to the nearest neighbour. Diskretnaya Matematika, Tome 30 (2018) no. 3, pp. 88-98. http://geodesic.mathdoc.fr/item/DM_2018_30_3_a7/