期刊名称:Advances in Science and Technology Research Journal
印刷版ISSN:2080-4075
电子版ISSN:2299-8624
出版年度:2014
卷号:8
期号:23
页码:88-93
DOI:10.12913/22998624.1120328
语种:English
出版社:Society of Polish Mechanical Engineers and Technicians
摘要:The paper deals with approximations of random sums. By random sum we mean a sum of random number of independent and identically distributed random variables. Distribution of this sum is called a compound distribution. The model is especially important in non-life insurance. There are many methods for approximating compound distributions, one of the most popular one is approximation with shifted gamma distribution. In this work we show an alternative way – using kernel density, Fast Fourier Transform and numerical optimization methods – for finding shifted gamma approximations and show results suggesting its superiority over classical method.
关键词:random sums;Fast Fourier Transform;shifted gamma distribution