The random weighting estimate of quantile process

  • Authors:
  • Shesheng Gao;Zhenlong Zhang;Bo Yang

  • Affiliations:
  • Department of Automatic Control, Northwestern Polytechnical University, Xi'an 710072, China;Department of Automatic Control, Northwestern Polytechnical University, Xi'an 710072, China;Department of Automatic Control, Northwestern Polytechnical University, Xi'an 710072, China

  • Venue:
  • Information Sciences—Informatics and Computer Science: An International Journal
  • Year:
  • 2004

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Abstract

Let X1,X2.....Xn be a sample of independent random variables with common distribution function (df)F and denote by Fn the corresponding empirical (df). where Hn is a random weighting estimation of Fn (Hn(x)= Σin 1 v, Ix1x and Fn=n/1 Σin 1 xi). In this paper, the random weighting method is applied to the sample q-quantile process. First, the consistency of the random weighting approximation is proved for the distribution of n 1/2{Fn-1(q)-F-1(q)}, and its convergence rate is researched. Second, the weak convergence of a smoothed random weighting estimates error is proved for the sample q-quantile process.