1.
Positive Study on the Elasticity of Foreign Exchange Reserve to Multiple Variables;
外汇储备规模与多元变量弹性系数的实证研究
2.
The adjustable multi-variable asymptotic optimization for the strategies of generating test paper
一种可调整式的多元变量渐近寻优组卷策略
3.
Analysis of Ordinal and Continuous Multivariate Longitudinal Data;
含有有序变量和连续变量的多元纵向数据分析
4.
Multiple regression models can accommodate many explanatory variables that may be correlated.
多元回归模型能容许很多解释变量，而这些变量可以是相关的。
5.
A homogeneous polynomial having two or more variables.
多元齐次多项式有两个或多个变量的齐次多项式
6.
Deviation Theoremes of the Multivariate Function Sequences of Arbitrary Random Variables;
任意随机变量多元函数序列的偏差定理的研究
7.
Research on Variable Selection and Prediction Algorithm for Multivariate Chaotic Time Series;
多元混沌时间序列的变量选择及预测方法研究
8.
Multiple Perspectives of Teaching Quality of Higher Education and Reform on Teaching Evaluation;
高等教育质量观的多元表达与教学评估变革
9.
A Multiple Ordinal Logit Model Used to Grade Listed Companies Credit;
上市公司资信评级的多元因变量Logit模型
10.
The Relations between Continuity and Continuity for One Variable of Functions with Multi-variables
多元函数的连续与关于单变量连续的关系
11.
Research and Design of Multi-Variable Adaptive Controller based on Neuron
基于神经元的多变量自适应控制器的研究与设计
12.
Application of multivariable generalized predictive control algorithm to monoblock unit coordinate control system;
多变量广义预测控制在单元机组协调控制系统中的应用研究
13.
Analysis on Variable Relations of Multivate Linear Regression Model in P. E. Scientific Research;
对体育科研中多元线性回归模型变量间关系的探析
14.
Quality Control System of Alloy Forging Based on Multivariate Conversion in Physics Fields;
基于物理场多元变换的合金锻造质量信息控制系统
15.
The application of the multivariable PID neural network control system in the collector pressure system of coke oven
多变量PID神经元网络控制系统在集气管压力系统中的应用
16.
The Application of Decoupling Combustion Identification Based on Fuzzy Neural Network in the Multi-variable Nonlinear System
模糊神经元网络在非线性多变量燃烧系统解耦辨识中的应用
17.
Multi-variable decision tree construction method based on principal component analysis and rough set
基于主元分析及粗糙集的多变量决策树构造方法
18.
Regarding these factors as independent variable and the degree of underpicing as a dependent factor,we established a linear regression model.
以这些因素为自变量，发行抑价幅度为因变量，建立了一个多元回归模型。