吉林大学学报(理学版) ›› 2019, Vol. 57 ›› Issue (06): 1385-1390.

• 数学 • 上一篇    下一篇

NGINAR(1)模型的Bayes估计及预测

杨艳秋1,2, 王德辉1   

  1. 1. 吉林大学 数学学院, 长春 130012; 2. 吉林师范大学 数学学院, 吉林 四平 136000
  • 收稿日期:2019-08-02 出版日期:2019-11-26 发布日期:2019-11-21
  • 通讯作者: 王德辉 E-mail:wangdh@jlu.edu.cn

Bayesian Estimation and Prediction of NGINAR(1) Model

YANG Yanqiu1,2, WANG Dehui1   

  1. 1. College of Mathematics, Jilin University, Changchun 130012, China;
    2. College of Mathematics, Jilin Normal University, Siping 136000, Jilin Province, China
  • Received:2019-08-02 Online:2019-11-26 Published:2019-11-21
  • Contact: WANG Dehui E-mail:wangdh@jlu.edu.cn

摘要: 先利用Bayes方法研究NGINAR(1)模型的参数估计问题, 再利用条件分布预测方法进行模型预测. 模拟结果表明, Bayes估计效果优于条件最小二乘估计和YuleWalker估计, 且条件分布预测方法比条件期望预测方法更适用于整数值序列.

关键词: NGINAR(1)模型, Bayes估计, 模型预测

Abstract: Firstly, the  Bayesian method was used to study  the problem of parameter estimation in the NGINAR(1) model, and then the method of conditional distribution prediction was used to predict  the NGINAR(1) model. The  simulation result shows that Bayesian estimation is better than the conditional least squares and YuleWalker estimation, and the method of conditional distribution prediction is more suitable for integervalued series than the method of conditional expectation prediction.

Key words: NGINAR(1) model, Bayesian estimation, model prediction

中图分类号: 

  • O212.1