Decompounding:: An estimation problem for Poisson random sums
成果类型:
Article
署名作者:
Buchmann, B; Grübel, AR
署名单位:
Technical University of Munich; Leibniz University Hannover
刊物名称:
ANNALS OF STATISTICS
ISSN/ISSBN:
0090-5364
发表日期:
2003
页码:
1054-1074
关键词:
nonparametric-estimation
renewal theory
摘要:
Given a sample from a compound Poisson distribution, we consider estimation of the corresponding rate parameter and base distribution. This has applications in insurance mathematics and queueing theory. We propose a plug-in type estimator that is based on a suitable inversion of the compounding operation. Asymptotic results for this estimator are obtained via a local analysis of the decompounding functional.