Least square means (LSM) and standard error (SE) for semen quality traits of different genotypes in bovine PLCz gene of Chinese Holstein bulls.Qing PanZhihua JuJinming HuangYan ZhangChao QiQin GaoLei ZhouQiuling LiLingling WangJifeng Zh...
17.DOA Passive Location Algorithm on Least Mean Square Error Criterion一种基于最小均方误差准则的唯方位定位方法 18.New Proof of Criterion for Uniformly Minimum Variance Unbiased Estimation一致最小方差无偏估计判定准则的新证法 相关短句/例句 least absolute criteria最小一乘准则 1.At first, the linear reg...
将“least square method"翻译成中文 最小二乘法, 最小二乘法平差, 最小二乘法拟合是“least square method"到 中文 的最佳翻译。 译文示例:The exponentials in kinetic equations were obtained by linear least-squares method based on the experimental data. ↔ 基于流化床重整制氢实验数据,通过最小...
They state that when data are not normal, the minimum chi-square estimator is asymptotically at least as efficient as the FIML and the ML estimate θ˜ that uses the EM mean and covariance. View chapterExplore book Read full chapter URL: https://www.sciencedirect.com/science/article/pii/...
The coefficient standard errors are equal to the square roots of the values on the diagonal of this covariance matrix. sqrt(diag(S)) ans =3×10.0058 0.0206 0.0135 Algorithms Whenm-by-nmatrixAandm-by-mmatrixCare full rank in a generalized least-squares problem, these standard formulas represent...
类似于 "least square estimator" 的短语,可翻译成 中文 generalized least squares estimator 一般化最小二乘推定量·一般化最小平方推定量·广义最小二乘估计量·广义最小平方估计量·艾特肯估计量 least square (estimate) 最小二乘 添加示例 在上下文、翻译记忆库中将“least square estimator"翻译成 中文...
For linear problems, this will mean that m = n and that the design matrix X is square. If X is nonsingular, the β's are the solution to a square system of linear equations: β = X \y. • Least squares: Minimize the sum of the squares of the residuals: ∑m ∥r∥2 = ri2...
The values of the statistical parameters mean square error (MSE), Regression coefficient (R 2 ), correlation coefficient (r) and also mean recovery (%), relative standard deviation (RSD) used for selecting the best model between these methods. Moreover, the proposed methods were compared to ...
Method:Least SquaresF-statistic:415.1 Date:Sat, 08 Feb 2014Prob (F-statistic):8.36e-12 Time:01:28:29Log-Likelihood:-14.904 No. Observations:16AIC:33.81 Df Residuals:14BIC:35.35 Df Model:1 coefstd errtP>|t|[95.0% Conf. Int.]
root mean square error of calibration RMSECV root mean square error of cross-validation RMSEP root mean square error of prediction RTA real-time analytics RTRt real-time release testing TPP target product profile Read more View chapterExplore book Adaptive Glucose Prediction Models Eleni I. Georga, ...