均值函数

在模拟中，我们不仅考虑了条件均值函数和条件方差函数都光滑的例子，也考虑了条件均值函数或条件方差函数不光滑的例子。

In the simulation , not only have we considered the case that both the conditional mean and variance functions are smooth , but also we have used the examples in which the conditional mean or the conditional variance function is rough .

首先，我们采用样条光滑法得到条件均值函数的样条估计。

First , we obtain the spline estimator of the conditional mean function .

二阶、三阶简单随机抽样时均值函数的jackknife估计

Jackknife Estimation of Functions of Means in Two-stage and Three-stage Simple Random Sampling Multivariate Populations

样本均值函数的期望及收敛速度

The expectation value of the function of sample averange and its convergence rate

基于均值函数新息加权的神经网络趋势预测的方法研究

Research for Trend Forecast in Neural Network of New Information Weighted with Mean Value Function

该方法也可用于确定时间序列的均值函数（趋势项）

TRENDS This method can also be used to determine the mean function of time series .

我们假设条件均值函数中跳点的数量、位置和跳跃幅度都是未知的。

The number , locations , as well as magnitudes of the jumps are all assumed unknown .

在很多统计回归模型中，都涉及到对未知均值函数或者对某已知函数的未知条件数学期望的估计。

In many statistical models , the estimate of unknown mean function or of unknown condition mean of function is often considered .

另一方面，对复发事件数据而言，由于复发事件的均值函数比强度函数更具有解释意义，因此学者们对均值函数或比率函数进行了建模。

In the other side , to recurrent event datas , because the mean function of the recurrent event datas is more significant than the intensity function .

依据时间序列数据的新旧程度对预测值贡献的大小，通过均值函数赋给输入数据不同的权值系数，提高了神经网络的预测精度。

The forecast accuracy of neural network can be increased by inputting different weighted value in mean function , according to the contributions of the time sequence data to forecast values .

在非参数和半参数模型中，不论数据是独立的还是相依的，都涉及到对未知均值函数或者对某函数的未知条件期望的估计。

In nonparametric model or parametric model , the estimate of unknown mean function or of unknown condition of some function is always considered either under independent data or under dependent data .

针对多台设备同时投试的情况，提出选取特定时间的均值函数值建立比例关系，利用增长因子建立多阶段分析流程。

For multiple equipments tested simultaneously , the proportional relations are established on the mean value function at a particular point . And then by improvement factor , the multistage analysis diagram is established .

然后，根据相邻节点间条件均值函数的样条估计的最大差值构造探测跳点是否存在的检验统计量，并在条件均值函数连续的原假设下得到了检验统计量的极限分布。

Then , based on the maximal difference of the spline estimators between neighboring knots , test statistics for the existence of jumps are given and their limiting distributions are derived under the null hypothesis that the conditional mean function is continuous .

按照3种情形分别选取样本，并应用统计预报中的ARMA模型、多元线性回归模型、多项式回归模型和均值生成函数模型等作出预报。

Firstly the samples were fitted and forecast by using the ARMA model , the multivariate linear regression model , the polynomial regression model and the mean generating function model etc.

非参数ACD模型不依赖条件均值的函数形式和误差项的分布形式，更具有一般意义。

Because the nonparametric ACD model does not rely on the functional form of ( conditional ) mean value and the error distribution form , it has more typical implication .

本文介绍了均值生成函数这一时间序列分析中的新概念，并经过主成分分析建立了时间序列模拟与预测的数学模型（记作MMFA）。

Mean Generation Function ─── A new concept in time series analysis is employed in thispaper , and an MMFA model about main factor analysis is presented too .

基于均值生成函数的时间序列分析

A method of time series analysis based on a mean generating function

提出一种投影函数：最小邻域均值投影函数。

A projection function called minimal neighborhood mean projection function ( MNMPF ) is proposed .

一维带噪声均值数据函数重构的二阶导数正则化方法

Second-order Derivative Regularization Method for the Function Reconstruction from Noisy Average Fluxes in One Dimension

通常算法以数个零均值高斯函数加权之和描述信号小波系数统计分布，在有些情况下可能带来严重失真。

In current algorithms , serious distortion may be brought when the distribution of signal wavelet coefficients is described by weighted sum of zero-mean Gaussian functions in some situations .

在工业试验中，非正态响应通常满足指数族分布的特征，即方差是均值的函数关系。

In industrial experiments , non-normal responses usually satisfy the characteristics of the exponential family distribution , that is , the response variance is the function of the response mean .

运用逐步回归周期分析方法，即均值生成函数、逐步回归分析方法的综合应用，对郑州冬小麦冬前正积温变化趋势进行预测。

By way of stepwise periodic regression analysis , that is to say the synthetic using of mean value function and stepwise regression analysis , we forecast the change trend of fore - winder positive accumulated temperature for winder wheat in Zhengzhou .

最后利用新的模糊C均值聚类评价函数实现无监督的纹理分割。

At last , a novel validity function of FCM ( Fuzzy C-Means Clustering ) was introduced to realize unsupervised texture segmentation .

随机状态下需求均值为线性函数时的EOQ模型

An EOQ Model at Random when Average Demand Is a Linear Increasing Function

该算法在模糊C均值原目标函数基础上引入中心像素的邻域信息，即与其相邻的像素的隶属度信息，并通过自适应粒子群的全局搜索来优化聚类中心。

The degrees of membership of the neighbors around each central pixel are introduced into the new objective function based on the FCM clustering algorithm , and the centers of clusters are optimized by the global searching of adaptive particle swarm .

时间序列均值和方差函数的确定方法

Method for determining functions of time series mean and variance

多元线性模型中均值矩阵的函数的所有可容许线性估计

All Admissible Estimators of the Function of Mean Matrix in Multivariate Linear Models

关于十进制非零数字之积函数的几何均值及数论函数对平方补数的均值

The Geometric Mean Value of Product of Non-zero Digits in Base 10 and the Mean Value of Some Number Functions for Square Complements

主要包括幅值和均值二维分布函数的获得及检验、多工况的载荷频次的分配问题，以及从原始载荷谱向程序谱转换过程中的若干问题和相应的解决办法。

This includes obtainment and checking of 2D distributing functions of amplitude and mean value solving the problem of load cycles distribution and the transformation of spectrum .

以位移的均值和协方差函数的变分原理为基础，根据基本方程推导出具有随机刚度的静定弯曲梁的有限元法。

Based on variational principle for mean value and covariance function of displacement , a finite element method for statically determined bending beam with stochastic rigidity was setted up .