1) observation variable
观测变量
1.
In this paper, we establish the factor analysis model for 19 observation variables which reflect the tertiary level , construct 4 representative common factors according to the principle that use the least factors to depict the expected quantities of information and take the variance contribution as the scale, give a reasonable name interpretation by use of the rotation of load factor matrix.
对反映三产水平的19个观测变量建立因子分析模型,以最少因子刻画预期信息量为方向,以方差贡献为尺度,构造了4个具有代表性的公共因子,并通过载荷因子矩阵的旋转予以合理的命名解释,进一步利用公共因子的信息对我国30个省市的三产水平作了综合性评估,结论支持国家大力开发西部的政策倾向。
2.
When there exist multiple correlations among the factors in the model and variables which must be explained but cannot measured directly,and when the satisfaction degree of observation variables appears the shape of skewness or two or three peaks,the partial least squares(PLS) model c.
当遇到模型因素间存在多重相关性,存在必须解释而又不可直接测量的变量因素,并且观测变量的满意度值常常为偏态或呈现双峰及三峰状态等问题时,可采用基于主成分和典型相关分析的偏最小二乘法(Partial Least Squares,PLS)求解模型。
2) observable variable
可观测变量
3) Unobservable variable
不可观测变量
4) Observations of crustal deformation
地形变观测量
5) original observed variable
原始观测变量
6) non-observable variable
不可观测的变量
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