| 1. | Robustness of minimum norm quadratic unbiased estimator of variance for the general linear model
一般线性模型下方差最小范数二次无偏估计的稳健性 |
| 2. | Robustness of minimum norm quadratic unbiased estimator of variance under the general linear model
一般线性模型下方差的最小范数二次无偏估计的稳健性 |
| 3. | High - voltage therapy to alleviate self - symptom of menopause syndrome patient using general linear model
高压电位治疗对更年期综合征自觉症状的改善作用 |
| 4. | Results the procedures of general linear model and mixed linear model to test treatment factor and time factor are provided
结果给出了一般线性模型和混合线性模型对处理因素和时间因素进行比较的具体做法。 |
| 5. | Dietitians ' religion and education level were related to k when analyzed with general linear model ( glm ) with least square means ( lsm ) ; only religion had relationship with w ( subscript k ) according to chi - square tests
单因数变异数分析结果显示营养养师的宗教信仰和教育程度与爱滋病知识有关。 |
| 6. | Abstract : under the matrix loss function , the necessary and sufficient conditions of linear admissible estimates of nonestimatible parameter functions for a general linear model are obtained
文摘:一般线性模型可估函数的可容许估计问题已有详细的讨论。对一般线性模型在矩阵损失下，得到了不可估函数的线性估计为可容许估计的充要条件。 |
| 7. | For a general linear model ( input matrix is deterministic ) , under a certain conditions on variance matrix invertibility , the two estimates can be identical provided that they have the same priori information on the parameter under estimation . even if the above information is unknown only for the optimally weighted ls estimate , the sufficient condition and necessary condition , under which the two estimates are identical , is derived . more significantly , we know how to design input of the linear system to make the performance of the optimally weighted ls estimation identical to that of the linear minimum variance estimation in case of being lack of prior information
在一般线性模型(即输入矩阵为确定性)下，当两种估计都利用有关被估参数的先验信息时，二者在方差阵可逆的一定条件下可达到一致；当最优加权最小二乘估计不利用此先验信息时，存在二者一致的充分条件和必要条件，进而找到一种设计输入矩阵的方法，使得在先验信息缺乏的条件下，仍可利用最优加权最小二乘估计达到与线性最小方差估计一样优越的估计性能。 |
