A CENTRAL-LIMIT-THEOREM FOR AUTOREGRESSIVE INTEGRATED MOVING AVERAGE PROCESSES

被引:1
|
作者
ANGUS, JE
机构
[1] Department of Mathematics, The Claremont Graduate School, Claremont, CA 91711
关键词
D O I
10.1016/0895-7177(93)90112-C
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
A central limit theorem for normalized sums of random variables that form an autoregressive integrated moving average (ARIMA) process is developed. The need for such a limit theorem is discussed in connection with modeling total compensation costs associated with insurance or medical claims.
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页码:3 / 9
页数:7
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