Uniformly Consistency of the Cauchy-Transformation Kernel Density Estimation Underlying Strong Mixing

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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
显示于类别:	[醫務管理系(所)] 期刊論文

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