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    题名: Approximate confidence sets for a stationary AR(p) process
    作者: Weng, Ruby Chiu-Hsing;Woodroofe, M.
    翁久幸
    贡献者: 統計系
    日期: 2006-08
    上传时间: 2015-07-21 15:36:14 (UTC+8)
    摘要: Approximate confidence intervals are derived for the autoregressive parameters of a stationary, Gaussian auto-regressive process of arbitrary order and shown to be asymptotically correct to order o ( 1 / n ), where n is the sample size. Simulation studies are included for small and moderate sample sizes for the case of two auto-regressive parameters, and these indicate excellent approximation for sample sizes as small as n = 10, 20. The convergence is in the very weak sense, and the derivation differs from most existing work through its direct focus on Studentized estimation error and its use of Stein`s identity. © 2005 Elsevier B.V. All rights reserved.
    關聯: Journal of Statistical Planning and Inference, 136(8), 2719-2745
    数据类型: article
    DOI 連結: http://dx.doi.org/10.1016/j.jspi.2004.11.007
    DOI: 10.1016/j.jspi.2004.11.007
    显示于类别:[統計學系] 期刊論文

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