1) nonparametric estimation
非参估计
1.
Apply the nonparametric estimation method to backward stochastic differential equation,and give the nonparametric estimation formula of generator g and z,also the data of a stock price process and option pricing process to test the applicability of this method is simulated.
研究了倒向随机微分方程的非参估计方法,给出了用非参方法估计生成元g和z的公式,并且进行了数值模拟股票价格过程和期权定价过程来验证非参方法的可行性。
2) non-parametric estimation
非参数估计
1.
The main steps are as follows:Firstly,by taking advantages of non-parametric density estimation,possibility density function(PDF) is determined,which is taken as the index of clustering,where areas with larger value of PDF would be taken as clustering prototypes;Secondly,the gradient field of PDF is estimated by means of non-parametric estimation;Thirdly,the prototypes o.
该方法实现如下:①利用非参数密度估计方法估计样本空间概率密度函数,并以概率密度函数作为聚类依据,密度函数值较大的区域将有可能作为类簇原型区;②利用非参数估计方法直接估计出概率密度函数的梯度场;③依据概率密度函数的梯度分布确定聚类原型,进而利用峡谷搜索法思想建立聚类划分;④最后利用类簇划分的边界确定变压器故障的区分边界。
2.
The kernel regression method now is the most popular non-parametric estimation method.
核回归方法是比较常用的一种非参数估计方法。
3) nonparametric estimation
非参数估计
1.
Application of nonparametric estimation method in establishing height-diameter curves of trees;
非参数估计在构造树高曲线中的应用
2.
Basic forms of Fourier transformation and PSD nonparametric estimation
Fourier变换的基本格式与PSD非参数估计
3.
Applied research of wavelet analysis and nonparametric estimation in exchange rate
小波分析与非参数估计在汇率中的应用研究
4) Non-parameter estimation
非参数估计
1.
In this paper, a new improved Bayes fusion model, which introduced non-parameter estimation method into traditional Bayes fusion criterion, was proposed.
针对传统bayes决策融合算法中,类条件概率密度的不确定性以及固定的类条件概率密度估计值所引起的融合系统误判,本文将非参数估计方法引入到bayes决策融合算法中,提出了一种改进的bayes决策融合模型。
5) nonparametric estimator
非参数估计
1.
This paper presents new nonparametric estimator based on random selection in ranked set samples for the mean of a population.
针对总体均值提出基于挑选排序抽样的非参数估计量,并证明了在一定条件下此估计量一致优于X-。
补充资料：非想非非想处天
1.佛教语。即三界中无色界第四天。此天没有欲望与物质﹐仅有微妙的思想。
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