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  • 标题:Smoothed Conditional Scale Function Estimation in AR(1)-ARCH(1) Processes
  • 本地全文:下载
  • 作者:Lema Logamou Seknewna ; Peter Mwita Nyamuhanga ; Benjamin Kyalo Muema
  • 期刊名称:Journal of Probability and Statistics
  • 印刷版ISSN:1687-952X
  • 电子版ISSN:1687-9538
  • 出版年度:2018
  • 卷号:2018
  • DOI:10.1155/2018/4816716
  • 出版社:Hindawi Publishing Corporation
  • 摘要:The estimation of the Smoothed Conditional Scale Function for time series was taken out under the conditional heteroscedastic innovations by imitating the kernel smoothing in nonparametric QAR-QARCH scheme. The estimation was taken out based on the quantile regression methodology proposed by Koenker and Bassett. And the proof of the asymptotic properties of the Conditional Scale Function estimator for this type of process was given and its consistency was shown.
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