| 1. | Portfolio choice with systemic risk squares estimator is blue
存在系统风险的投资组合选择研究 |
| 2. | The relative efficiency of the least squares estimator in singular linnear model
奇异线性模型最小二乘估计的相对效率 |
| 3. | A new relative efficiency of the least squares estimator in growth curve model
生长曲线模型中最小二乘估计的一种新的相对效率 |
| 4. | Admissibility of generalized least square estimator on the unknown parameter matrix in the extensive growth curve
推广的生长曲线模型中未知参数矩阵的广义最小二乘估计的可容许性 |
| 5. | These theories are easy extended to the usual nonlinear model . first , in this paper we study the least squares estimator of the model
该模型与普通线性模型相较，估计难度加大，且容易推广到一般的非线性模型。 |
| 6. | The algorithm uses an improved extended kalman filter with a least square estimator parallel to it , which monitors the filter ' s state and restrains divergence without increasing the burden of computation
提出了以最小二乘为伴随估计器的改进的卡尔曼滤波算法，该算法的优点是在几乎不增加计算量的基础上实现对滤波状态的监视和抑制发散，实时性较好。 |
| 7. | Then , took least squares estimator of test data as preliminary estimate , applied versatile maximum likelihood estimate method to treat test data , obtained the estimators of electrical connectors reliability characteristic values
并以试验数据的最小二乘估计值为初始值，应用极大似然估计方法对试验数据进行统计处理，得出了电连接器可靠性特征值的估计值。 |
| 8. | An objective function was introduced to determine the structure of fuzzy models . at last , we present a specific fuzzy modeling method based on modified fuzzy clustering algorithm combined with least - square estimator and l - m optimize algorithm
根据模糊建模的实际需要，提出了一种改进的模糊聚类算法，并结合最小二乘和l - m优化算法，给出了模糊建模的具体实现方法。 |
| 9. | The consistency of the ordinary least squares estimator n is obtained for = - 1 , and the limiting distribution of n is established as a function of a levy process . these results are useful in testing for the presence of unit roots when the innovations are heavy tailed
得到了参数= - 1时最小二乘估计_ n真的相合性，并且证明了其极限分布是l vy过程的函数，这在单位根测试中是非常有用的。 |
| 10. | A new method about approximation calulate is given , the convergence is proved , we also consider the asympototic property of least square estimator . second , the curvature measures of nonlinearity are studied and the property of least square estimator are studied by new ways
其次研究了该模型的曲率度量，并给出了一种新的度量非线性模型的非线性程度的方法：局部曲率，并用该方法提高了迭代收敛速度，具体内容见第三章。 |
