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基于经验似然的AR(p)模型的统计诊断
Diagnostic for Auto-regression Time Series Models based on Empirical Likelihood Method
【摘要】 本文基于经验似然方法对AR(p)模型进行统计诊断,文章首先给出p阶自回归模型的广义估计函数并对模型参数进行估计,然后运用数据删失、局部影响分析和伪残差方法对AR(p)模型进行统计诊断,最后通过实证来说明该诊断方法的有效性.
【Abstract】 In this paper,we study diagnosis for auto-regression time series model based on empirical likelihood method.First,the generalized estimating function is given and estimators of the parameters are obtained.Then,based on case deletion,local influence analysis and pseudo-residuals method,the problem of outliers in auto-regression time series models is selected.Last,an example is given to illustrate the validity of diagnosis.
【关键词】 经验似然;
广义估计函数;
局部影响分析;
统计诊断;
【Key words】 empirical likelihood; generalized estimating function; local influence analysis; statistical diagnosis;
【Key words】 empirical likelihood; generalized estimating function; local influence analysis; statistical diagnosis;
【基金】 国家社会科学基金项目(09BTJ004)
- 【文献出处】 数理统计与管理 ,Journal of Applied Statistics and Management , 编辑部邮箱 ,2014年02期
- 【分类号】O212.1
- 【被引频次】5
- 【下载频次】276