我们采用双变量模型进行了统合分析以出示敏感性和特异性的汇总估计。
We performed meta-analyses using the bivariate model to produce summary estimates of sensitivity and specificity.
目的探讨利用双变量多水平模型分析多重相关中的部分相关问题。
Objective To analyze the partial correlation problems by multilevel bivariate models.
结果同一资料用双变量多水平模型计算的部分相关系数及其显著性检验结果与传统最小二乘法计算结果相同，但前者更加简便、快速。
Results the results of correlation analysis with multilevel bivariate models is same with traditional methods, but the former is more quick and simple.
对同业拆借利率及证券市场价格波动建立了双变量回归模型，并对两者的相关性进行实证分析。
By establishing bivariate regression model, this paper makes an empirical analysis on the correlativity between CHIBOR and price fluctuation in securities market.
广义双曲正切模型利用输入变量的平移能以任意精度逼近系统的不确定动态。
Firstly, by translating the input variables, a generalized hyperbolic model can approximate to any uncertain dynamics by an arbitrary accuracy.
方法双变量多水平模型。
为了提高模型的预测准确率，使用了双变量统计和主成份对数据进行预处理和分析。
To improve the forecasting accuracy, bivariate statistics and PCA were used to prepare and analyze the data in advance.
第二个模型称为双因子模型，它是在单因子模型的基础上加入了新的因子变量—便利收益率，并且假定便利收益率服从带有均值反转特性的O—U过程。
The first model is a simple one-factor model in which the logarithm of the spot price of the commodity is assumed to follow o-u process which has a mean reverting character.
提出了一种基于退火技术来获取优化的拟合模型曲线的方法。基于该方法编制出双变量散点图曲线拟合程序FITBIVAR。
An optimal fitting method of modeling curves is presented based on a simulation annealing technique and a fitting program FITBIVAR of bivariate scatter plot is developed by using this method.
在双反应变量重复测量资料模型构建过程中，使用SAS的MIXED过程，将重复测量数据间的相关性分为变量之间的相关与重复测量个体值之间的相关两部分。
In modelling the bivariate repeated measurement data, using the PROC MIXED of SAS, the correlation between data could be cut into two parts: between variables and between multiple measurements.
结果双变量多水平模型可以估计各水平两个变量的方差协方差阵，据此可以计算出相关系数随协变量变化的函数式。
Results Multilevel models can present the variance covariance metrics of two dependent variables in every levels, and make out the functional expresses of correlation coefficient with covariates.
采用双曲正弦模型确定了该材料的热变形参数随应变量的变化规律，建立了相应的热变形本构方程。
The relations of the thermomechanical parameters with strain were obtained using the hyperbolic-sine mathematics model and the hot deformation constitutive relationship was established.
采用双曲正弦模型确定了该材料的热变形参数随应变量的变化规律，建立了相应的热变形本构方程。
The relations of the thermomechanical parameters with strain were obtained using the hyperbolic-sine mathematics model and the hot deformation constitutive relationship was established.
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