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  • 标题:Estimation of the Parameters of a Chirp Type Model with Stationary Residuals
  • 本地全文:下载
  • 作者:K. Perera
  • 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:2017
  • 卷号:2017
  • DOI:10.1155/2017/6219149
  • 出版社:Hindawi Publishing Corporation
  • 摘要:Let be the observations from a chirp type statistical model , , where is a stationary noise. We consider a method of estimation of parameters, , , , , and , (where is the variance of ’s) which is basically an approximate least-squares method. The main advantage of the proposed approach is that no assumptions are required. We make use of the three theorems which were established associated with the kernel and then use them to prove, under certain conditions, the consistency of the estimators.
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