1) Differential Variable
差分变量
1.
Model with Intercept and Model without Intercept, Horizontal Variable Model and Differential Variable, as well as Linear Model and Logarithm Linear Model; and secondly makes a general study on the functional choice of economic measuring model and on the choice of interpreting variables.
本文首先针对完全模型与子集模型,有截距模型与无截距模型,水平变量模型与差分变量模型以及线性模型与对数线性模型的选择进行了具体的研究;其次,对经济计量模型的函数形式选择和解释变量的选择进行了一般性的研究。
2) variable difference method
变量差分法
1.
This paper presents the effets of the systematic error component, when it will not vanish in the variable difference, on the dynamic random error and answers the question why the variable difference tends to be small when the dynamic random errors are calculated with variable difference method.
本文从平稳随机序列的变量差分公式出发，给出了系统误差分量在差分中消失不了时，对动态随机误差的影响，从而回答了用变量差分法统计动态随机误差的方差一般偏小的原因。
3) variability of estimated variance components
方差分量变异量
1.
Therefore,estimating the variability of estimated variance components needs to be further explored.
采用蒙特卡洛(Monte Carlo)数据模拟技术,在正态分布下讨论不同方法对基于概化理论的方差分量变异量估计的影响。
4) multivariate analysis of variance
多变量方差分析
1.
Doctors use the ROC curve of the software to receive the accuracy of the medical diagnosis,and exerts multivariate analysis of variance to ob.
用户可通过使用本软件的ROC曲线获取准确的医疗诊断信息,通过多变量方差分析获得血流变测试的正常参考值和各个变量之间的显著性差异等,并将各变量的变化和统计结果通过Word文档的形式显示输出。
2.
Methods In conjunction with the instance of the clinical trial, to construct the correlation structures within subject, then to expatiate the theory about univariate ANOVA, Multivariate analysis of variance, mixed l.
方法 结合新药临床试验的实例讨论重复测量数据的组内相关结构,阐述单变量方差分析、多变量方差分析、混合线性模型、广义估计方程处理新药临床试验中重复测量资料原理和步骤。
5) non-time difference variant
无时间差分变量
1.
Based on the solution of simplified difference method for infiltration equation in unsaturated soil, we have constructed the non-time difference variant implicit scheme.
在得出理查兹渗透方程近似精确解基础上,建立无时间差分变量的隐式差分计算格式。
6) gray value differential invariant
灰度差分不变量
1.
This paper presents a new point feature matching method based on gray value differential invariants.
本文提出了一种新的基于灰度差分不变量的点特征匹配方法。
补充资料：变量与变量值
可变的数量标志和所有的统计指标称作变量。变量的数值表现称作
变量值，即标志值或指标值。变量与变量值不能误用。
变量值，即标志值或指标值。变量与变量值不能误用。
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