COMPOUND POISSON APPROXIMATION FOR NONNEGATIVE RANDOM-VARIABLES VIA STEIN METHOD
成果类型:
Article
署名作者:
BARBOUR, AD; CHEN, LHY; LOH, WL
署名单位:
National University of Singapore; Purdue University System; Purdue University
刊物名称:
ANNALS OF PROBABILITY
ISSN/ISSBN:
0091-1798
DOI:
10.1214/aop/1176989531
发表日期:
1992
页码:
1843-1866
关键词:
limit-theorem
CONVERGENCE
distributions
expansions
sums
摘要:
The aim of this paper is to extend Stein's method to a compound Poisson distribution setting. The compound Poisson distributions of concern here are those of the form POIS(v), where v is a finite positive measure on (0, infinity). A number of results related to these distributions are established. These in turn are used in a number of examples to give bounds for the error in the compound Poisson approximation to the distribution of a sum of random variables.