1) Nonparametric regression
非参数回归
1.
Improved K nearest neighbor nonparametric regression and its application in short-term traffic flow forecasting;
改进的K近邻非参数回归在短时交通流量预测中的应用
2.
An algorithm for nonparametric regression with penalized splines;
非参数回归的罚样条算法
3.
Neural network ensemble model for rainfall forecasting based on nonparametric regression;
基于非参数回归的神经网络集成降水预报模型
2) non-parametric regression
非参数回归
1.
Aiming at curve fitting question, a method of non-parametric regression with penalty term to determine adaptively the fitting function of a group of data is presented, emphasing on the problem of determining the regular parameter of the method, including subjective back-and-forth method and cross validating method.
针对曲线拟合问题,提出了用带惩罚项的自适应非参数回归方法来确定一组数据的拟合函数,并主要讨论了此方法中正则化参数的确定问题,其中包括凭主观选择法和交叉验证法以及通过非线性函数方程来确定正则化参数。
2.
By taking the model on non-parametric regression into image denoising,the arithmetic based on this method has been presented.
将数值分析中的非参数回归模型应用于图像去噪处理,推导了基于该方法的算法模型。
3.
Focusing on the problem of inventory forecast of inventory control strategy in the Distribution center(R,S) ,non-parametric regression method is applied to fit for the inventory,which is compared with the least squares method and non-parametric k neighboring rule is used to predict the inventory.
以物流配送中心库存管理策略(R,S)中库存量预测的问题为研究对象,提出应用非参数回归方法对库存量进行拟合,用该方法与最小二乘法比较。
3) nonparametric regression function
非参数回归函数
1.
Strong consistency of partitioning estimation of the nonparametric regression function under α-mixing sequences;
α混合下非参数回归函数基于分割估计的强相合性
2.
Empirical likelihood confidence intervals for nonparametric regression functions under depandent samples
相依样本下非参数回归函数的经验似然置信区间
3.
Asymptotic normality of partitioning estimates for the nonparametric regression function under censored samples
截尾样本下非参数回归函数基于分割估计的渐近正态性
4) nonparametric function
非参数回归函数
1.
A wavelet method is proposed to detect jumps in a nonparametric function which is observed with Strong mixing sequence noise.
利用小波方法对噪声为混合序列的非参数回归函数的跳跃点进行检测。
5) nonparametric regression analysis
非参数回归分析
1.
Five predict methods have been used like step by step regression analysis, neural network, correlation filter, cokriging and nonparametric regression analysis.
利用逐步回归分析、神经网络、相关滤波、协克里金和非参数回归分析等方法 ,实现了由地震资料与测井资料联合应用对孔隙度参数的平面分布预测。
6) nonparametric regression model
非参数回归模型
1.
The computed results showed that the nonparametric regression model could achieve better results than the linear regression model for national final consumption.
结果表明,相对于线性回归模型而言,非参数回归模型能够很好地解决我国国民最终消费问题,预测精度较高。
2.
Based on the empirical likelihood ratio test is proposed to test the autocorrelation of the random errors in nonparametric regression model.
基于经验似然的方法构造了检验统计量,对非参数回归模型中的误差进行了相关性假设检验,获得了零假设下检验统计量的渐近分布为χ2分布。
3.
The model is applied to predict the total amount of Chinese population,and the results show that nonparametric regression model is better than linear regression model,at the same time,the situation orthogonal sequence estimate is superior to k-near neighbour estimate for the dynamic relation between the total amount of Chinese population and nation.
结果表明:非参数回归模型优于线性回归模型,同时正交序列估计效果也优于k-近邻估计。
补充资料：非线性回归
分子式：
CAS号：
性质：对具有非线性关系的因变量与自变量的数据进行的回归分析。处理非线性回归的基本方法是，通过变量变换，将非线性回归化为线性回归，然后用线性回归方法处理。假定根据理论或经验，已获得输出变量与输入变量之间的非线性表达式，但表达式的系数是未知的，要根据输入输出的n次观察结果来确定系数的值。按最小二乘法原理来求出系数值，所得到的模型为非线性回归模型(nonlinear regression model)。
CAS号：
性质：对具有非线性关系的因变量与自变量的数据进行的回归分析。处理非线性回归的基本方法是，通过变量变换，将非线性回归化为线性回归，然后用线性回归方法处理。假定根据理论或经验，已获得输出变量与输入变量之间的非线性表达式，但表达式的系数是未知的，要根据输入输出的n次观察结果来确定系数的值。按最小二乘法原理来求出系数值，所得到的模型为非线性回归模型(nonlinear regression model)。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条