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Atomic functions in nonparametric estimations of probability density functions and their derivatives

机译:概率密度函数及其导数的非参数估计中的原子函数

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摘要

Nonparametric estimations of probability density function (PDF) [1–3] and its derivatives are considered. New constructions of weight functions (WF) [4, 5] with the compact support are offered and proved, allowing to build admissible estimations, both the density of probability and its derivatives 1st and 2nd orders. The numerical experiment and the physical analysis of its results confirm efficiency of nonparametric characteristics estimation of stochastic process.
机译:考虑了概率密度函数(PDF)[1-3]及其导数的非参数估计。提供并证明了具有紧支撑的权函数(WF)[4,5]的新结构,从而可以建立可接受的估计,包括概率密度及其导数的一阶和二阶。数值实验及其结果的物理分析证实了随机过程非参数特征估计的有效性。

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