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  • 标题:Parametric and Semiparametric Estimations of Stationary Univariate ARFIMA Models
  • 本地全文:下载
  • 作者:V. A. REISEN ; B. ABRAHAM ; E. M. TOSCANO
  • 期刊名称:Brazilian Journal of Probability and Statistics
  • 印刷版ISSN:0103-0752
  • 出版年度:2000
  • 卷号:14
  • 期号:2
  • 页码:185-206
  • 出版社:Brazilian Statistical Association
  • 摘要:In this paper we consider the estimation of the fractional parameter d and the autoregressive and moving average parameters of an ARFIMA(p, d, q) process with d 2 (0.0, 0.5). A recent study related to this is found in Smith et al (1997). We follow the efforts made by these authors considering different methods of estimating the parameter d which is estimated from the semiparametric and parametric approaches and also, different samples sizes. The methodology presented here is applied to two sets of data: the Nile River minima and the annual rainfall at Fortaleza - Brazil.
  • 关键词:Fractional differencing; long memory; periodogram; smoothed regression.
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