摘要
本文对一阶非负门限自回归模型NTAR(1)作了讨论,指出NTAR(1)模型有根强的实际背景,用马尔克夫理论证明了NTAR(1)模型的平稳性、几何遍历性,给出了矩的存在条件和参数估计。
The non-negative nolinear time series model of the first order(NTAR(1 ))isproposed which can be used to model such a series as river flow.The stationarity andergodicity of the model are obtained by using markoy chain theory developed recently byTweedle.The moment conditions of the model are also discussed,It is shown that theconditional least square estimators of the model parameters are consistent under certainConditions.
出处
《石油大学学报(自然科学版)》
CSCD
1994年第5期145-152,共8页
Journal of the University of Petroleum,China(Edition of Natural Science)
关键词
门限自回归模型
马氏链
几何非线性
Non-negative nonlinear time seties:Markov Chain:Conditional least square estimation