潜在变量

首先，该模型在分析的基础上，假定各潜在变量之间存在一定的因果路径关系，然后通过实证计算各路径系数，验证各路径的存在性，进而对模型进行修正，得到最终的满意度模型。

Firstly , on the basic of analysis , suppose there are some cause-effect path relationships among each latent variable . Then compute the coefficients , test the existence of each path , modify the model and arrive at a final consumer satisfaction model .

在论述顾客满意度模型是具有二分类因变量的非线性模型的基础上，提出了一种含潜在变量的Logistic联立方程模型。

This paper presents a logistic simultaneous equations model with latent variables .

这种潜在变量的多样性促使jQuery创建了一种广义函数来访问它们。

This diversity of potential variables has caused jQuery to create a generalized function to access them .

ICA还假设那些潜在变量是非高斯的且相互独立，并称它们为观测数据的独立分量。

The latent variables are called the independent components of the observed data , which are assumed non-Gaussian and mutually independent .

结构方程模型（SEM）是应用线性方程系统表示观测变量与潜在变量之间及潜在变量之间关系的一种统计方法。

Structural Equation Modeling ( SEM ) is a statistical method that states the relation between observation variables and latent variables or among the latent variables by linear equation system .

用EM算法对学生成绩进行了因子分析，通过MATLAB软件的编程计算发现，找到的潜在变量与传统的课程分类基本一致。

The data of students ' scores are analyzed by the factor analysis based on EM algorithm . Using the procure compiled of MATLAB software , we find that the latent variables are the same as those of traditional classifying of subjects .

首先采用因子分析法提取影响满意度和忠诚度的潜在变量，然后对它们与满意与否，忠诚与否进行Logistic回归，建立了一个递归联立方程模型，并结合社区满意度实例进行了实证研究。

Factor analysis is used to extract the latent variables which affect the satisfaction and loyalty . Logistic regression can be done with the latent variables and the two dependent variables & the customer satisfaction and loyalty , then a recursive simultaneous equations model are established .

模型比美国满意度测评模型（ASSI）增加了学校形象这一外生潜在变量，因为学校形象对学生满意度具有直接影响。

Compared to the ACSI , this model add a potential exogenous variable & school image , for the school image has a direct influence on the students satisfaction .

不同群体用户在满意度各潜在变量上存在差异。

Different groups in various potential variable user satisfaction of differences .

将结构方程模型引入到企业价值的研究中来，既可以分析潜在变量之间的关系，又可以分析潜在变量和观测变量间的关系。

Using Structural Equ-ation Modeling we can not only analyze the relationship between latent variables , but also the relationship between latent variables and observed variables .

结构方程模型分析得出了各个潜在变量之间的相关关系，易感性认知、严重性认知、行为效益认知及行为障碍认知之间存在相关性。

Correlations among all the latent variables have been calculated . There are inter-relationship among the perceived susceptibility , perceived severity , perceived benefits and perceived barriers .

因素分析是一种多变量统计方法，它能够将描述某一对象的多个变量缩减为少数几个潜在变量。

It is a kind of multivariate statistic technique that is often used in data reduction to identify a small number of potential factors in a much larger number of manifest variables .

本文较为详细的阐述了基于中间语义的跨语言文本分类模型的原理，研究了其在特征维数和潜在变量对对数变化的情况下的分类性能的稳定性。

The model principle and the results of the influence of feature dimension and interlingua semantics on the performance of the new Cross Language Text Categorization model are described in this thesis .

其次，重点分析了顾客特征对模型中各潜在变量的影响，通过实证分析，验证顾客的人口社会经济特征和个性心理特征对各潜在变量的影响程度。

Secondly , pay more attention to the influence of consumer characteristic to all latent variables and by demonstration , test the influence degree of social economics characteristic of population and personality metal characteristic .

本研究通过效应分解进行了潜在变量间的直接效应、间接效应、虚假效应和未分解效应的分析表明，组织资本、人力资本、关系资本间的相互作用对企业绩效具有正效应。

This dissertation decomposed correlations in the model into direct , indirect , spurious and unanalyzed effects . Results show that the interrelationships among the three components of intellectual capital have a significantly positive effect on firm performance .

此模型包含七个潜在变量：学校形象、学生预期质量、学生感知质量、学生感知价值、学生满意度、学生抱怨、学生忠诚。

This model contains seven Latent Variables : school image , the expected quality of students , students ' perceived quality , perceived value of students , student satisfaction , students ' complaints and the students ' loyalty .

根据这些特性，利用因果关系链建立服务业顾客满意度结构模型，并对模型中的潜在变量及变量之间的关系进行了阐述与分析，对度量潜在变量的可观测变量进行了选择和研究。

Then the structural model is built by making use of the potential consequences chain . Finally , the latent variables in the structural model , the relationship of them and how to select the observable indicators of them are studied .

可利用植物的生物量密度、植物密度、植物大小、以及动物觅食的口量是影响动物觅食功能反应的潜在变量集。这些变量的差异导致动物功能反应格局的复杂化。

The biomass density , plant density , and plant size of availability plant and bite size were a potential set of variables influencing the functional response of herbivores foraging , and the differences of the variables lead to complicate pattern of functional response .

因子分析法：因子分析法是从多个原始变量关系入手，找出支配这种相关关系的有限个可观测到的潜在变量，并用它来解释原始变量的多元分析方法。

Factor Analysis : factor analysis is to find such a correlation between dominance of the finite number of observations to be the potential variables from a number of variables between the original start , and use it to explain the original multi-variable analysis .

然而，Wishart自回归模型含有潜在状态变量，使得在参数估计过程中面临高维积分问题，难以得到似然函数的闭合表达式，导致一般的参数估计方法失效。

However , latent variables was contained in the models , what leads to high-dimensional integration , so we can not obtain closed form expressions of the likelihood function of Wishart regression model , thus many general parameter estimation methods result in failure .

切片回答了这样一个问题哪些程序语句潜在地影响变量v在语句s的值？MarkWeiser引入程序切片概念，因为他观察到程序员在调试过程中脑海中就有关于程序的某种抽象。

A slice provides the answer to the question What program statements potentially affect the value of variable v at statement s ? Mark Weiser introduced program slicing because he made the observation that programmers have some abstractions about the program in mind during debugging .

并将潜在人格特征变量纳入模型，加强了结论的稳健性。

Latent personalities are also included in the model , which make the results much more robust .

毕竟，这只是为期五天的一个小样本研究，设计中存在大量潜在混淆的变量。

After all , it was a small-sample study , conducted over a mere five days , with plenty of potentially confounding variables in the design .

这一潜在的提取操作变量影响了两类记忆测验，同时也促进了定向遗忘效应的研究。

The potential retrieving operation variable affects the two tests , which at the same time facilitates the research of directed forgetting .

结构变量决定了群体的潜在绩效，过程变量和状态变量则影响着团队绩效在运行过程中发生的增量和减量。

The structure variables determine the potential team performance , and the progress variables and state variables affect the increment or decrement of the team performance during the team operation process .

他们的统计模型试图校正潜在的混淆性变量，例如，无论是否存在银行业危机，经济衰退和金融不确定性都可能导致死亡率上升。

Their statistical models attempted to correct for potential confounding variables , such as the fact that an economic downturn and financial uncertainty may increase mortality rates regardless of whether there is a banking crisis .

第1阶段，利用贝叶斯潜在语义模型来标注含有潜在类别主题词变量的网页的类别；

Text classification with Bayesian latent semantic model ( BLSM ) . The first stage , labels the documents that include latent class variables by using Bayes latent semantic model .

从客户价值的定义和划分入手，详细讨论了客户的潜在价值，建立了一个预测客户潜在价值的多变量概率单位模型；

This article first gives the definition and categorization of customer value , discusses customer potential value , and constructs a multivariate profit model for predicting customer potential value .