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WOD样本下密度函数核估计的强相合性 被引量：9

The strong consistency for the kernel-type density estimation in the case of widely orthant dependent samples
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摘要 设{Xn,n≥1}是同分布的WOD随机变量序列,具有共同的密度函数f(x),利用WUOD序列的指数不等式,在适当条件下获得了WOD样本下密度函数核估计的强相合性. On the supposition that { Xn, n≥ 1 } are identically distributed widely orthant dependent random variable sequences, with a common density function f（x）. The strong consistency of the kernel estimator of the density function for widely orthant dependent samples proves to be right under suitable conditions by using widely upper or thant dependent exponential inequality.
作者 施生塔 吴群英
机构地区 桂林理工大学理学院
出处 《浙江大学学报（理学版）》 CAS CSCD 2014年第1期26-28,34,共4页 Journal of Zhejiang University（Science Edition）
基金 国家自然科学基金资助项目(11061012) 广西省自然科学基金资助项目(2012GXNSFAA053010) 广西研究生教育创新计划项目(2011105960202M32)
关键词 WOD样本 密度函数核估计 相合性 widely orthant dependent samples kernel estimator of the density function consistency
分类号 O212.7 [理学—概率论与数理统计]
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参考文献12

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二级参考文献14

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共引文献37

同被引文献57

引证文献9

二级引证文献16

浙江大学学报（理学版）
2014年 第1期

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