广义方差比是一个效率度量。
并找到了方差比与相关系数之间的内在联系。
It is called variance ratio and the exact relation between variance ratio and correlation coefficient is also built.
此外，找到了方差比，W -K统计量与相关系数之间的精确关系。
Besides, the relations between variance ratio and correlation coefficient and between W-K statistics and correlation coefficient are found.
模拟频率间接估计算法的估计方差比直接估计算法的方差要小2 ~3个数量级。
The variance of the frequency estimates of indirect method is 2 ~ 3 magnitudes less than that of the direct method.
数据试验结果表明，综合反演结果的方差比由单一地球物理场得到的该界面深度值的方差要小得多。
The result of data testing shows that the variance of comprehensive inverse results are much less than that of interfacial depth value obtained with single geophysical field.
用传统方法得到的两正态分布方差比的置信区间显然不是最短的，因而就此意义而言也不是最佳的。
The traditional method the confidence interval is not the shortest, so it is not the best one in this sence. Obtained the shortest confidence interval in theory.
通过方差比检验，我们发现中国权证市场不具弱有效性，简单交易规则一定程度上能在权证市场中有效预测。
Through variance ratio test, we find the Chinese warrant markets do not reach weak form market efficiency, and simple trading rules of technique analysis prove some kind of efficacy.
这一性质比最小方差性更为直观。
The property was more object than minimum variance property.
利用文中方法圈定出的异常面积比采用标准方差与等值线圈定异常方法小，表征了真正的异常边界。
The abnormal area delineated by using this method is smaller than that delineated by the standard deviation and isoline methods, characterizing the true anomalous boundary.
一阶趋势的OK方法中半方差函数模型选用高斯型的比选用球状和指数型的插值效果相对要好。
Within the method of first-order trend OK, Gaussian semi-variogram model performed better than both the spherical and exponential models.
单一标记分析法可以采用方差分析、回归分析或似然比检验的方法分析。
ANOVA, regression method and likelihood ratio test can be applied in single-marker mapping.
根据资产的预期收益，以及收益的标准差，可以看到我们有更好的选择，这里的方差值比以上两种方案都要低。
Depending on where the assets expected returns are and the assets' standard deviations, we can see that we might be able to do better than — have a lower variance than either asset.
经方差分析比较证明，应用回归方程法计算的叶面积比用矫正系数法更为可靠。
The result of variance analysis revealed that regression equation method could give a more reliable result than leaf area correction coefficient method for the leaf area measurement.
经不同年际独立试验数据的检验，叶片碳氮比监测模型的预测精确R2为0.6824，根均方差（RMSE）为0.4052。
Testing of the monitoring models with independent dataset indicated that the predictive precision (R2 ) was 0.6824, and RMSE was 0.4052.
数据分析采用百分比和方差等统计方法。
古老品种与现代品种在臂比均值和臂比方差上并未表现出明显的差异。
The mean of arm ratio varied little by corolla shape from traditional to modern cultivars.
古老品种与现代品种在臂比均值和臂比方差上并未表现出明显的差异。
The mean of arm ratio varied little by corolla shape from traditional to modern cultivars.
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