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  • 标题:On the rate of convergence to the normal law of LSE in regression with long range dependence
  • 本地全文:下载
  • 作者:Nicolai N. Leonenko ; Emanuele Taufer
  • 期刊名称:Statistica
  • 印刷版ISSN:1973-2201
  • 出版年度:2003
  • 卷号:63
  • 期号:1
  • 页码:53-69
  • DOI:10.6092/issn.1973-2201/338
  • 语种:English
  • 出版社:Dep. of Statistical Sciences "Paolo Fortunati", Università di Bologna
  • 摘要:In this paper we study the rate of convergence to the normal approximation of the least squares estimators in a regression model with long range dependent errors. The method of investigation used is based on the asymptotic analysis of orthogonal expansions of non linear functionals of stationary Gaussian processes and on Kolmogorov's distance.
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