密度函数

最后引用两个例子说明概率密度函数方法的优越性。

Two examples are analysed in order to show the advantage of the pdf methods .

二维质量拟合与时间误差概率密度函数的联合结果用来确定时间拟合中每个事例概率密度函数中信号与本底的比例。

In the fit , the two dimensional mass fit merged with time-uncertainty PDF is used to calculate the fraction of signal or backgrounds in the PDF for each of events .

独立随机变量第k个最大值的密度函数的局部一致收敛

Local uniformly convergence of density function of the k-th maxima on independent random sequences

它依赖于您对度量值的概率密度函数（probabilitydensityfunction，PDF）的认识。

Well , it depends on what you know about the measurements'probability density function ( PDF ) .

区域人口密度函数与增长模式：兼论城市吸引范围划分的GIS方法

Analyzing regional density functions and growth patterns in China with a GIS-based method delineating influential regions of cities

NA样本密度函数估计一致渐近正态性的收敛速度

The Rate of Uniformly Asymptotic Normality for Probability Density Estimator under Negatively Associated Samples

密度函数估计的修正SVM法

Modified SVM in the estimation of density function

基于EM算法的因子分析中隐变量的条件概率密度函数

Conditional PDF of Hidden Variable for Factor Analysis Based on EM Algorithm

多项式中的未定系数与概率密度函数中的分布参数可由应力随机变量的前n阶矩确定。

The undetermined parameters of the polynomial and the probability density function can be determined by the first n moments of the stress variable .

采用脉冲法测定了蔗糖水解反应在连续搅拌釜式反应器内的停留时间分布，求得了停留时间分布密度函数E（t）、平均停留时间以及模型参数。

Residence time distribution for sugar hydrolysis reaction in a contineous flow stirred tank reactor was m : asured by pulse input method .

利用吉洪诺夫正则化方法，讨论了问题（1）中源密度函数f的求解问题，并给出稳定化的数值解。

Based on Tikhonov 's regularization method , this paper discusses the solution of parabolic equation and gives a stable numerical solution .

本文提出了顺序随机变量的概念，并求出了X（k）的概率密度函数。

This paper presents the concept of order random variable for the first time , and obtains the probability density function of X ( k ) .

这种方法以接收信号的功率谱密度函数为时间序列，利用最小二乘格型自适应滤波器经由AR建模而得到高分辨率的时间延迟估计。

This method uses the eross power spectral density ( PSD ) function of two received signals as a time sequence .

F.Specht提出的概率神经网络（ProbabilisticNeuralNetwork，PNN）是基于密度函数估计和贝叶斯决策理论而建立的一种分类网络。

Probabilistic neural network ( PNN ) is a classification network , which is based on Bayesian decision theory and probability function estimation theory .

两两NQD序列密度函数核估计的r阶平均相合性

The r-order mean consistency for the kernel-type density estimation in the case of pairwise NQD sequences

指出了X~2（n）密度函数的极大值的性质，及不同参数所对应的概率密度曲线之间的关系。

Points out the properties of maximum value of X ~ 2 distributed density function , and the relation of different X ~ 2 distributed density function according to different parameters .

NOx预测模型中，包含了热力型NOx、瞬发型NOx和燃料型NOx的形成，并采用概率密度函数（PDF）方法进行计算。

In NOx estimating model , thermal NOx formation , prompt NOx formation and fuel NOx formation have been calculated by probability density function ( PDF ) .

硝酸甲酯与硝酸乙酯的结构、振动频率和热力学性质的密度函数理论（DFT）研究

Density Functional Theory ( DFT ) Studies on Molecular Geometries , IR Frequencies and Thermodynamic Properties of Methyl and Ethyl Nitrates

本文在PearsonⅢ型分布密度函数基础上提出了PearsonⅡ函数变形模型。

Based on the Pearson I function of distribution density , this paper presents the Pearson transform model .

在以链路延时为节点状态，以延时的概率密度函数为状态信息的QoS路由，这个假设尤其重要。没有这个假设，端到端路径延时的概率密度函数的计算是NP-Hard问题。

This assumption is extremely important when link-delay PDF is used as state information because the calculation of path-delay PDF is NP-Hard without it .

本文在已知VonKarman功率谱密度函数的情况下，选择利用自回归滑动平均（ARMA）模型来仿真风速。

This paper uses Auto-regressive moving-average ( ARMA ) model to simulate the wind records based on Von Karman spectral .

本文给出了湍流燃烧概率密度函数的输运方程，扼要地介绍了目前应用较多的随机过程模型，以及求解概率密度函数方程的MonteCarlo算法。

In this paper the evolution equations for pdf of turbulent combustion arc derived . Some common stochastic models and Monte Carlo algorithm for solving the pdf equations are introduced .

在频域利用VONMISES应力对结构进行多轴疲劳分析的前提是必须获得VONMISES应力过程中应力循环的概率密度函数。

The precondition of structure multiaxial fatigue analysis in frequency domain with Von Mises stress is to obtain its peak probability density function .

提出了一种新的类条件密度函数估计的PNN模型及其算法。

A novel PNN model with training algorithms is proposed for class conditional density estimation .

证明采用高斯核的一类SVM，其解可以归一化为密度函数，并把该密度函数看作类条件概率密度的平滑估计，构造贝叶斯分类器。

It is proven that the solution of one-class SVM using the Gaussian kernel can be normalized as an estimate of probability density , and can be used to obtain the Bayesian classifier .

提出概率密度函数法（Probabilitydensityfunction，PDF）研究重构吸引子的结构，PDF包含了重构吸引子相点空间分布的重要信息。

Probability density function ( PDF ) method is proposed for analysing the structure of the reconstructed attractor in carrent study . PDF contains important information about the spatial distribution of the phase points in the reconstructed attractor .

本文利用外积、外微分式运算作工具，推导出四元数Beta分布、F分布及其特征根分布的密度函数。

By using the exterior product and exterior differential forms operations , the density functions of the quaternion Beta distribution , . F ' distribution and their Latent roots'distribution are derived in this paper .

Gamma分布函数Γ（α，β）常常用作贝叶斯指数可靠性增长模型的先验分布密度函数，参数α、β值的不同，将使增长试验的评估结果有很大的差异。

The Gamma distribution function Γ(α,β) is always used as a prior distribution density function of Bayesian exponential reliability growth model . Different value of α,β will make considerable difference in evaluating results .

该类算法都以测度概率密度函数的Kullback-Leibler距离作为目标函数，用来衡量源信号各分量的独立性。

These algorithms are based on minimizing a contrast function defined in terms of the Kullback-Leibler distance .

基于峰度的盲源分离开关算法无需假设源信号的概率密度函数，可直接对独立分量分析（ICA）中的激活函数进行自适应学习。

Switching algorithm of blind source separation based on kurtosis is used to adaptively learn activation function of the independent component analysis ( ICA ) without assuming the PDF of sources .