• The superiority of the classical least square method is lost due to the morbid of designed matrix in large-type linear regression analysis.

    在大型线性回归分析中,由于设计矩阵的病态使得经典的最小二乘法失去了优良性。

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  • It is known that Hat Matrix is very important in the influence analysis of the unconstrained regression.

    影响分析是研究回归问题的一个重要环节,提到影响分析,必须引进帽子矩阵。

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  • In solving the regression equations, collinearity in the design matrix can result in inaccurate parameter estimates.

    在解回归方程时,设计矩阵中的共线性可能产生不精确的参数估计。

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  • We investigate the admissibility of the linear estimate of random regression coefficients under a matrix loss function in general growth curve models.

    本文在矩阵损失下研究了一般增长曲线模型中随机回归系数线性估计的可容许性。

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  • Presents the transmission matrix of heat transfer of multilayered spherical walls and introduces the calculation procedure of frequency-domain regression (FDR) method.

    给出了多层球形墙体的热传递矩阵,提出了用频域回归(FDR)方法计算球形墙体瞬时传热的方法。

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  • By sweeping transformation of matrix, the relationship between regression coefficients and the elements of partial variance is obtained.

    通过矩阵的扫除变换,获得了回归系数关于偏方差元素的表现形式。

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  • Results show that iterative refinement using the SVD can improve regression coefficient estimates in the cases where the design matrix is highly collinear.

    结果表明,在设计矩阵高度共线性时,用奇异值分解的迭代加细可以改进回归系数的估计。

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  • A robust parameters estimation algorithm is proposed in this paper, which is based on uniform design for a linear regression model in the case of its coefficient matrix with random disturbance.

    针对一个线性回归模型的系统矩阵存在的随机扰动情况,提出一种基于均匀设计的稳健参数估计算法。

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  • To determine the rank of regression coefficient matrix in a multivariate linear regression model, a model selection procedure is proposed based on the M-estimation.

    为了确定多重线性回归模型中回归系数矩阵的秩,本文提出了一个基于M估计的模型选择程序,且在较弱的条件下建立了回归系数矩阵的秩的估计的强相合性。

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  • The regression equation for incomplete data is established, and the best unbiased integral estimators of the regression parameters and their covariance matrix are also given.

    建立不完全数据回归方程,给出回归系数的最佳无偏整体估计及其协方差矩阵。

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  • Objective To study the roles of matrix metalloproteinases 2, 9 (MMP 2, 9) in the tissue remodeling that occurs during luteal development and regression in the rat ovary.

    目的探讨基质金属蛋白酶2、9 (MMP 2、9)在大鼠卵巢黄体发育、维持和退化的组织重建中的作用。

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  • Prediction to the regression parameters was converted to predict cross product matrix of the variable augmented matrix.

    对多元线性回归模型参数的预测,转化为对其变量集合的增广矩阵的叉积阵的预测。

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  • Composites process is optimized by orthogonal regression design method. The result shows that this composites is of good property and fiber binds well with resin matrix surface.

    采用正交回归设计的试验方法优化复合材料工艺,所制得的复合材料性能优异,纤维与基体界面粘接良好。

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  • The fourth part introduces the correlating matrix and the logistic regression to analyze how and why the factors act on urban neighborhood.

    第四部分将城市邻里关系的个体属性、社会属性指标分别纳入相关分析和回归分析,具体探讨了其对邻里关系的作用机制及成因;

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  • The multinomial regression-analysis method is adopted in matrix set -up of sensor static characteristics, F-examination is used for the recognition of power. This method is common and practical.

    本文采用多项式回归分析的方法,进行传感器静态特性的建模。

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  • Fibroblast growth factor 5 (FGF-5) has effects of inhibiting hair growth and shifting hair growth cycle from the growth stage to the regression stage in hair matrix cells.

    成纤维细胞生长因子5 (FGF - 5)作用具有在毛母细胞中,抑制毛发生长,使毛发周期从生长期进入退行期的作用。

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  • The Minimax admissibility of linear estimates with respect to restricted multivariate regression coefficient under matrix loss function is considered.

    本文研究了带有不等式约束的生长曲线模型中线性估计的容许性与泛容许性问题。

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  • The Minimax admissibility of linear estimates with respect to restricted multivariate regression coefficient under matrix loss function is considered.

    本文研究了带有不等式约束的生长曲线模型中线性估计的容许性与泛容许性问题。

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