Approximate Asymptotic Variance-Covariance Matrix for the Whittle Estimators of GAR(1) Parameters

被引:6
|
作者
Shitan, Mahendran [1 ,2 ]
Peiris, Shelton [3 ]
机构
[1] Univ Putra Malaysia, Dept Math, Serdang 43400, Malaysia
[2] Univ Putra Malaysia, Inst Math Res, Lab Computat Stat & Operat Res, Serdang 43400, Malaysia
[3] Univ Sydney, Sch Math & Stat, Sydney, NSW 2006, Australia
关键词
Asymptotic; Covariance; Generalized Autoregression; Spectral density; Time series; Variance; Whittle's estimation; 62M10;
D O I
10.1080/03610926.2011.569862
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
Generalized Autoregressive (GAR) processes have been considered to model some features in time series. The Whittle's estimates have been investigated for the GAR(1) process by a simulation study by Shitan and Peiris (2008). This article derives approximate theoretical expressions for the enteries of the asymptotic variance-covariance matrix for those estimates of GAR(1) parameters. These results are supported by a simulation study.
引用
收藏
页码:756 / 770
页数:15
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