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NON-PARAMETRIC ESTIMATION IN CONTAMINATED LINEAR MODEL 被引量:1

NON-PARAMETRIC ESTIMATION IN CONTAMINATED LINEAR MODEL
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摘要 In this paper, the following contaminated linear model is considered:y i=(1-ε)x τ iβ+z i, 1≤i≤n,where r.v.'s { y i } are contaminated with errors { z i }. To assume that the errors have the finite moment of order 2 only. The non parametric estimation of contaminated coefficient ε and regression parameter β are established, and the strong consistency and convergence rate almost surely of the estimators are obtained. A simulated example is also given to show the visual performance of the estimations. In this paper, the following contaminated linear model is considered:y i=(1-ε)x τ iβ+z i, 1≤i≤n,where r.v.'s { y i } are contaminated with errors { z i }. To assume that the errors have the finite moment of order 2 only. The non parametric estimation of contaminated coefficient ε and regression parameter β are established, and the strong consistency and convergence rate almost surely of the estimators are obtained. A simulated example is also given to show the visual performance of the estimations.
出处 《Applied Mathematics(A Journal of Chinese Universities)》 SCIE CSCD 2001年第2期195-202,共8页 高校应用数学学报(英文版)(B辑)
关键词 Contaminated data non parametric estimation strong consistency convergence rate almost surely. Contaminated data, non parametric estimation, strong consistency,convergence rate almost surely.
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  • 1郑祖康,高校应用数学学报,1996年,11卷,31页
  • 2陈希孺,线性模型参数的估计理论,1985年
  • 3陈明华,高校应用数学学报
  • 4潘建敏,应用概率统计

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