This article is cited in 8 papers

New algorithms for the statistical modeling of inhomogeneous Poisson ensembles

T. A. Averina

Institute of Computational Mathematics and Mathematical Geophysics, Siberian Branch of the Russian Academy of Sciences, pr. Akademika Lavrent'eva 6, Novosibirsk, 630090 Russia

Abstract: New algorithms for statistical modeling of inhomogeneous Poisson ensembles are proposed. They are based on a special method for modeling discrete random variables. The corresponding modification of the well-known maximum cross section method is developed.

Key words: inhomogeneous Poisson ensemble, Monte Carlo method, rejection algorithm, modification of the maximum cross section method.

UDC: 519.676

Received: 29.05.2009
Revised: 22.06.2009

 English version: Computational Mathematics and Mathematical Physics, 2010, 50:1, 12–18

Bibliographic databases:

• 
• 
• 
•