| 题名: | Uniformly Consistency of the Cauchy-Transformation Kernel Density Estimation Underlying Strong Mixing |
| 作者: | Horng, Wann-Jyi |
| 贡献者: | 醫務管理系 |
| 关键词: | Kernel Density Estimator
Cauchy-Transformation
Empirical Distribution
Convergence Rate
Strong Mixing |
| 日期: | 2013-02 |
| 上传时间: | 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 |
| 显示于类别: | [Dept. of Hospital and Health (including master's program)] Periodical Articles
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