ESTIMATING THE CRITICAL-VALUES OF STOCHASTIC GROWTH-MODELS

被引：8

作者：

BUTTELL, L

COX, JT

DURRETT, R

机构：

[1] CORNELL UNIV,DEPT MATH,ITHACA,NY 14853

[2] SYRACUSE UNIV,DEPT MATH,SYRACUSE,NY 13244

来源：

JOURNAL OF APPLIED PROBABILITY | 1993年 / 30卷 / 02期

关键词：

CONTACT PROCESS; CRITICAL VALUES;

D O I：

10.2307/3214854

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：

Interacting particle systems provide an attractive framework for modelling the growth and spread of biological populations and diseases. One problem with their use in applications is that in most cases the existing information about their critical values and equilibrium densities is too crude to be useful. In this paper we describe a method for estimating these quantities that does not require very much computer time and produces fairly accurate results.

引用

页码：455 / 461

页数：7

共 11 条

[1]

[Anonymous], 1985, INTERACTING PARTICLE

[2] CRITICAL EXPONENTS FOR REGGEON QUANTUM SPIN MODEL [J].