非参数估计中核估计的构造及相合性
Structure and Consistent of the Non-Parametric Kernel Density Estimation
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摘要: 讨论了非参数估计中的核估计方法,对于相互独立同分布的随机变量的密度函数引进了 新的估计量方法,并且讨论了此估计量的逐点相合性,求出了未知密度函数的区间估计,最优窗 宽。Abstract: A kind of kernel density estimation method is discussed in non-parametric statistics for independently and identically distributed random variable of density. In this discussion, a new estimation value method is introduced; then, the method’s consistency, the stability, the optimal bandwidth, and asymptotic confidence interval of f(x)are obtained.
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Key words:
- non-parametric estimation /
- deviations /
- consistency /
- kernel density estimation
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