CONSISTENCY AND LIMITING DISTRIBUTION OF THE LEAST-SQUARES ESTIMATOR OF A THRESHOLD AUTOREGRESSIVE MODEL

被引:805
作者
CHAN, KS
机构
关键词
COMPOUND POISSON PROCESS; CONSISTENCY; ERGODICITY; LEAST SQUARES ESTIMATION; LIMITING DISTRIBUTION; THRESHOLD AUTOREGRESSIVE MODELS;
D O I
10.1214/aos/1176349040
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
It is shown that, under some regularity conditions, the least squares estimator of a stationary ergodic threshold autoregressive model is strongly consistent. The limiting distribution of the least squares estimator is derived. It is shown that the estimator of the threshold parameter is N consistent and its limiting distribution is related to a compound Poisson process.
引用
收藏
页码:520 / 533
页数:14
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