| 1. | A brief introduction of latent variables analysis
隐变量分析简介六 |
| 2. | The diversity of executive functions in normal adults : a latent variable analysis
执行功能可分离性及与年龄关系的潜变量分析 |
| 3. | Comparison and evaluation of different methods for analyzing interaction effects between latent variables
隐变量交互效应分析方法的比较与评价 |
| 4. | The application of structural equation model with latent variables in the emergency management
带有潜变量的结构方程模型在突发事件应急管理中的应用 |
| 5. | Objective to study mental health status among medical students , and to explore the relations between the influencing factors and latent variables to mental health
摘要目的了解医学生心理健康状况，探讨医学生心理健康的影响因素及其潜变量之间的关系。 |
| 6. | We discussed four common outlier tests in pls regression , included partial f test , residual plot and normal quantile plot , latent variables plot ( tit plot ) , contribution plot of variables to latent variables . among these techniques , the first and second are used frequently in ordinal multiple multivariable regression
实例一的资料来自于卫生管理研究，主要用于偏最小二乘回归与一般最小二乘回归之间的优劣比较，以及偏最小二乘回归离群点检测方法的实际运用。 |
| 7. | It is shown that regression models are fewer latent variables and more stable by using osc method . the number of latent variables of nicotine model is reduced from 7 to 3 ; and the number of latent variables total - sugar is reduced from 6 to 3 . at the same time , we also found that osc is more excellent when it is applied on complex powder system than simple system
结果表明在保证模型预测能力的同时， osc校正法极强的滤波能力降低模型的复杂度，也即烟草烟碱模型主因子数从7减少为3 ，烟草总糖模型主因子数从6减少为3 ，四元混合体系液体样品中甲苯预测模型主因子数从4减少为3 。 |
| 8. | In this paper , we present a method of how to make factor anlysis when survey data compose of some item - nonresponses . we combine the factor anlysis model and response model , by treating the factors as latent variables which influence item response pobability , and assuming the response pobability has a logit model . after that , we give a two - step method to estimate the parameters
在进行因子分析时，调查数据常常存在项目无回答的情况，本文将诸因子作为隐含变量，建立无回答概率与诸因子的统计模型，并给出模型参数的两步估计方法，从而得到了存在项目无回答时的因子分析。 |
