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估计标准误差
相关语句
  estimated standard error
     Among those predicted parameters, Vd was the most precise one that 95% predicted value was in the 95% confidence limits for "observed" value with the correlation coefficient between predicted Vd value and the "observed" value being 0.974, the estimated standard error (SE) was less than 3. 3%;
     与实测值相关系数为0.974,估计标准误差小于3.3%;
短句来源
     The calculation results show that the statistic and monitoring value are fairly identical, multiple correlation coefficients bigger and estimated standard error smaller.
     计算结果表明:变形统计值与变形监测值吻合较好,统计复相关系数较大,估计标准误差较小。
短句来源
  “估计标准误差”译为未确定词的双语例句
     The predicted CL that 2/3 predicted value were in the 95% confidence limits for the "observed" value was less precise with the correlation coefficient being 0. 797 and the SE less than 20%;
     其次是CL,有2/3的预测值在实测值95%置信限以内,与实测值相关系数为0.797,估计标准误差小于20%;
短句来源
     Thirdly, a photo-thermal based crop development and growth model system was developed for prediction of crop developmental stage, biomass production and yield.
     模型对夏干季节(三伏天)、夏湿季节(梅雨季节)和冬季温室内空气温度、湿度以及作物蒸腾速率的预测结果与1:1直线之间的决定系数R~2和回归估计标准误差RMSE(Root Mean SquaredError)分别为:0.89,0.75,0.52;
短句来源
     Therefore, when two or three smoothing coefficients given at random are used to compare standard errors, what is selected from them is not the best value, so best estimating results are not obtained. In this paper, through analysis and study, a practical and convenient method is given to solve these two problems.
     二是平滑系数的确定,这两者不仅直接影响预测结果,而且两者之间还具有内在联系,因此,采用随机地给出二、三个平滑系数,进行估计标准误差比较,从中选取的不一定是最佳值,也就得不到最佳估计效果,本文通过分析研究,给出一种实用、简便且可操作的方法,帮助解决这两个问题。
短句来源
     The root mean squared error (RMSE) for germination, seedling, flowering, fruit setting, and harvest development stages was 0, 1, 1.87, 2.69 and 3 days, respectively. The prediction accuracy of this model is remarkably higher than that of the Growth Degree Day (GDD) based model (RMSE is 0, 7.91, 8.86, 13.58 and 12.59 days, respectively, for germination, seedling, flowering, fruit setting, and harvest development stages).
     模拟值与观测值的回归估计标准误差(RMSE)分别为0、1、1.87、2.69、3d,明显高于以有效积温为尺度的模拟模型预测精度(RMSE分别为0、7.91、8.86、13.58、12.59d)。
短句来源
     The results show that the simulated results agree well with the observed ones. The root mean squared error (RMSE) for development stages of germination, five leaf stage, tendril elongation, flowering, fruit setting and the whole growth duration was 1, 3, 2.2, 1.8, 1.1, 2.6 days, respectively.
     结果表明,模型对发芽期、幼苗期、伸蔓期、开花期、结果期等各生育期及全生育期的模拟预测值与实际观测值的符合度较好,其回归估计标准误差(RMSE)分别为1、3、2.2、1.8、1.1、2.6d。
短句来源
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  相似匹配句对
     b) a G-M estimator of ω'1α, ω'2β and ω'1α+ω'2β under L (Xβ, Aα; δ21V, δ22U} respectively.
     b)G-M估计
短句来源
     Standard
     标准
短句来源
     Estimate the uncertainess of standard value of spectrometric standard sample
     光谱标样标准值的不确定度的估计
短句来源
     THE ROBUST ESTIMATE OF AVERAGE VALUE AND STANDARD DEVIATION OF PARENT POPULATION
     母体均值和标准差的稳健估计
短句来源
     The real measuring error aquirement and estimation of standard deviation
     真误差的获取及标准估计
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  standard error of estimate
These data allow an in vivo prediction of vertebral body strength using a noninvasive method with a standard error of estimate amounting to less than 0.95 kN.
      
The best formula was: Expected percent dose excretion at 35 min = 79.3[1-e-(0.004798 x ERPF)] with a standard error of estimate (Sy·x) of 5.2% dose.
      
gave the lowest standard error of estimate (Sy·x) of all the methods.
      
Standard error of estimate, bias and imprecision of different methods were evaluated.
      
On an hourly basis, the overall standard error of estimate (SEE) and the absolute relative error (ARE) were 0.06?mm h-1 (41?W m-2) and 4.2%, respectively.
      
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  estimated standard error
This expression applies to the range 100-1 000 MeV with an estimated standard error of ±20-25%.
      
When only the number,Nmax of tracks in the compartment in which the shower has its maximum development can be determined, our best estimate isE0=87.4Nmax, with an estimated standard error of ±30-35%.
      
Based on the criterion of estimated standard error, the efficiency of the improved estimator with respect to the traditional unbiased estimator (i.e., sample mean) is examined numerically.
      
The estimated standard error in μO2ss is on the order of ±200 J mol-1, which is approximately ±0.01 log-bar units in fo2 at 1273 K.
      
When estimating the mean value of a variable, or the total amount of a resource, within a specified region it is desirable to report an estimated standard error for the resulting estimate.
      
更多          
  standard error estimate
If the sample sites are selected according to a probability sampling design, it usually is possible to construct an appropriate design-based standard error estimate.
      
Hence, using one standard error estimate for all genes does not seem appropriate.
      
Of these, the EM covariance matrix with average column-wise n gave estimates closest to the true values with the closest standard error estimate.
      
The coefficient of multiple determination and standard error estimate for Equation 7 were found to be 0.99 and 0.067, respectively.
      


Using the method of one point of Bayesian individual pharmacokinetic parameters and dosage regimens of digoxin were calculated in heart failure patients,and the population pharmacokinetic data analysed in statistics with a minitab software. While CrCL being steady-reaction variable,the series of regression models were suggested and the individual pharmacokinetic parameters of digoxin in heart failure patients,individual dosage regimen as well as the corresponding average steady state serum concencration (Css)...

Using the method of one point of Bayesian individual pharmacokinetic parameters and dosage regimens of digoxin were calculated in heart failure patients,and the population pharmacokinetic data analysed in statistics with a minitab software. While CrCL being steady-reaction variable,the series of regression models were suggested and the individual pharmacokinetic parameters of digoxin in heart failure patients,individual dosage regimen as well as the corresponding average steady state serum concencration (Css) were predicted. The results showed that there were strong correlations (P<0. 001) between CrCL and the population pharmacokinetic parameters of digoxin,and the correlation coefficients were CL = 0. 805,Vd=0. 985,Tl/2 = 0. 517,K = 0. 525,D1.0=0. 714 respectively. The individual pharmacokinetic parameters of digoxin predicted by the founding of quantity regression models were not significant different to the "observed" parameters . Among those predicted parameters, Vd was the most precise one that 95% predicted value was in the 95% confidence limits for "observed" value with the correlation coefficient between predicted Vd value and the "observed" value being 0.974, the estimated standard error (SE) was less than 3. 3%; The predicted CL that 2/3 predicted value were in the 95% confidence limits for the "observed" value was less precise with the correlation coefficient being 0. 797 and the SE less than 20%; The predicted T1/2 and K were a little bad. 80% dosage regiments that were predicted according to CrCL corresponds with the best individual dosage regiments and the corresponding Css of either wasn't significent difference.

用Bayesian一点法拟合心衰病人的DG个体药物动力学参数及个体化给药方案,用minitab对软件DG群体药物动力学数据进行统计学分析.以CrCL为固定效应变量,建立系列回归模型,预测心衰病人的DG个体药物动力学参数、个体化给药方案及其对映的(?)ss.结果显示CrCL与DG群体药物动力学参数存在高度的相关(P<0.001),相关系数分别为:CL=0.805,Vd=0.985,T_(1/2)=-0.517,K=0.525,D_(1.0)=0.714.并建立定量回归模型,预测DG个体药物动力学参数,预测参数与实测参数没有统计学差异,其中以Vd预测精度最好,有95%的预测值在实测值的95%置信限以内.与实测值相关系数为0.974,估计标准误差小于3.3%;其次是CL,有2/3的预测值在实测值95%置信限以内,与实测值相关系数为0.797,估计标准误差小于20%;T_(1/2)和K预测结果稍差.CrCL预测的个体化给药方案80%符合最佳个体化给药方案,且两者所对应的(?)ss没有显著性差异.

There are two problems to be solved if index smoothing method is directly used for prediction: determination of initial value and smoothing coefficient, both of which not only directly affect predicting results, but also have internal associations. Therefore, when two or three smoothing coefficients given at random are used to compare standard errors, what is selected from them is not the best value, so best estimating results are not obtained. In this paper, through analysis and study, a practical and convenient...

There are two problems to be solved if index smoothing method is directly used for prediction: determination of initial value and smoothing coefficient, both of which not only directly affect predicting results, but also have internal associations. Therefore, when two or three smoothing coefficients given at random are used to compare standard errors, what is selected from them is not the best value, so best estimating results are not obtained. In this paper, through analysis and study, a practical and convenient method is given to solve these two problems.

指数平滑法直接用于预测有两个关键问题需要解决,一是初始值的确定;二是平滑系数的确定,这两者不仅直接影响预测结果,而且两者之间还具有内在联系,因此,采用随机地给出二、三个平滑系数,进行估计标准误差比较,从中选取的不一定是最佳值,也就得不到最佳估计效果,本文通过分析研究,给出一种实用、简便且可操作的方法,帮助解决这两个问题。

One variable linear regressive equation is an anticipating method which combines the regressive analysis in statistics with anticipation theory.It's very practical.Firstly,we should see if there exist linear relations among the economic variations.Then,we should get the regressive equation to anticipate parameters with the method of OLS.Finally,we must calculate the standard estimated error to make sure the degree of regressive model's credibility.

一元线性回归模型预测是统计学中回归分析结合预测理论的一种方法,有较强的实用性。首先确定两个经济变量之间是否存在线性相关关系,然后用最小平方法求出回归模型并进行预测,最后计算估计标准误差以确定回归模型的可靠程度。

 
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