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    請使用永久網址來引用或連結此文件: https://ir.cnu.edu.tw/handle/310902800/27957


    標題: Uniformly Consistency of the Cauchy-Transformation Kernel Density Estimation Underlying Strong Mixing
    作者: Horng, Wann-Jyi
    貢獻者: 醫務管理系
    關鍵字: Kernel Density Estimator
    Cauchy-Transformation
    Empirical Distribution
    Convergence Rate
    Strong Mixing
    日期: 2013-02
    上傳時間: 2014-05-26 10:50:36 (UTC+8)
    出版者: Natural Sciences Publishing Corporation
    摘要: In this paper, one uses the idea of Cauchy-transformation to construct a Cauchy-transformation kernel density estimator underlying the condition of strong mixing. The uniformly strong consistency and convergence rates of the proposed estimator are obtained underlying the papers of Cai and Roussas [1] and Kim and Lee [6]. The proposed estimator can improve the boundary effects of the empirical (or uniform)-transformation kernel density estimator in the boundary area. Besides, the proposed estimator can also be applied to estimate the hazard function.
    關聯: Applied Mathematics & Information Sciences, v.7 n.1, pp.5-9
    顯示於類別:[醫務管理系(所)] 期刊論文

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