Statistical simulation methods for a~nonhomogeneous Poisson ensemble
Sibirskij žurnal vyčislitelʹnoj matematiki, Tome 12 (2009) no. 4, pp. 361-374
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In this paper, some Monte-Carlo methods for modeling homogeneous and nonhomogeneous Poisson ensembles are offered. Generalization of the Maximum Cross-section Method is constructed and proved for modeling nonhomogeneous Poisson ensembles of points.
@article{SJVM_2009_12_4_a0,
author = {T. A. Averina},
title = {Statistical simulation methods for a~nonhomogeneous {Poisson} ensemble},
journal = {Sibirskij \v{z}urnal vy\v{c}islitelʹnoj matematiki},
pages = {361--374},
publisher = {mathdoc},
volume = {12},
number = {4},
year = {2009},
language = {ru},
url = {http://geodesic.mathdoc.fr/item/SJVM_2009_12_4_a0/}
}
T. A. Averina. Statistical simulation methods for a~nonhomogeneous Poisson ensemble. Sibirskij žurnal vyčislitelʹnoj matematiki, Tome 12 (2009) no. 4, pp. 361-374. http://geodesic.mathdoc.fr/item/SJVM_2009_12_4_a0/