1.
Zero-Inflated Generalized Poisson Regression Model and Its Application to Insurance Ratemaking
零膨胀广义泊松回归模型与保险费率厘定
2.
The Generalized Poisson Process Model Perturbed by Diffusion and its Ruin Probability;
带干扰的广义泊松过程模型及其破产概率
3.
The Generalized Poisson Process Model and Its Ruin Probability;
保险理赔的广义泊松过程模型及其破产概率
4.
A GENERALIZED VARIANCE-RATIO TEST FOR A HETEROSKEDASTIC REGRESSION;
异方差回归中的广义方差比检验(英文)
5.
Ridge Estimate on Moore-Penrose Inverse Matrix of Generalized Linear Regression Model
广义线性回归模型的Moore-Penrose逆阵岭估计
6.
A Generalized Spectral Density Test of Conditional Autoregressive Heteroscedasticity for Threshold Autoregressive Model;
门限自回归模型中自回归条件异方差的广义谱密度检验
7.
Ln this paper, the general form of ridge regression by obtaining. The explicit solution is founel to depend upon certain limit/ convergence far generalized Ridge Regression.
本文给出了广义岭回归估计的一般形式，通过极限方法给出了广义岭回归估计的一个精确解。
8.
The Path of "Economic-man" back to Reality: Building General Self-benefit and rational View;
“经济人”回归现实的路径:建立广义自利观和广义理性观
9.
Application of General Regression Neural Network in Adjusting Humidity in HVAC Control System
广义回归神经网络在空调湿度调节中的应用
10.
Research on Vibration Measurement Technology of Tip-timing System Based on GRNN;
基于广义回归网络的叶端定时测振技术研究
11.
Study on SOM Network, General Regression Neural Network and Their Hybrid Model;
SOM网络和广义回归网络及其混合模型研究
12.
Grid Performance Prediction Based on General Regression Neural Network;
基于广义回归神经网络的网格性能预测
13.
Modeling and Application of Generalized Autoregressive Conditional Density based on JSU Distribution;
基于JSU分布的广义自回归条件密度建模及应用
14.
Forecast for mutual fund returns with gerenal regression neural network;
以广义回归神经网络预测共同基金报酬
15.
Optimization of Modeling Industrial Process Based on General Regression Neural Network
基于广义回归神经网络的工业过程优化建模
16.
Method of Temperature Measurement Using Image Based on GRNN
基于广义回归神经网络的图像测温方法
17.
Research on GRNN-based sensor fault diagnosis
基于广义回归神经网络的传感器故障诊断研究
18.
Combining Generalized Ridge and Principal Correlation Estimation of the Regression Parameters and Its Optimality
回归系数的广义岭型主相关估计及其优良性