| 1. | The note of rank test based on depth function
基于深度函数的秩检验的注记 |
| 2. | The statistical method for establishing multivariate reference range using mahalanobis depth function
基于马氏深度函数的多变量参考值范围的统计方法 |
| 3. | The independence of two d - dimensional random vectors is tested by employing the linear rank statistics based on depth function
利用基于深度函数的线性秩统计量检验两d维随机向量的独立性。 |
| 4. | So far , statistician have n ' t formed systematic theory to discuss rank statistics based on depth function and its application
目前统计学家们还没有形成系统的理论来讨论基于深度函数的秩统计量及其应用。 |
| 5. | 5 . the position and scale problem of two d - dimensional samples is discussed by using the linear rank statistics based on depth function
5 、利用基于深度函数的线性秩统计量讨论两d维样本尺度与位置问题。 |
| 6. | In the paper , asymptotics of based on a depth function reweighted estimators of multivariate location and scatter are discussed
摘要讨论了基于深度函数的再加权估计的收敛性问题，得到以常见的深度函数为权数得到的再加权估计都是收敛的。 |
| 7. | However , rank vector of multi - dimensional sample based on depth function has something to do with depth function and underlying distribution , which limits its practice
而多维样本的基于深度函数d的秩向量与深度函数和总体分布有关。这使得它的应用受到限制。 |
| 8. | In document [ 1 ] , a new method is introduced , that is , we are able to calculate the rank based on depth function by introducing the depth function for high dimensional data
文献[ 1 ]中介绍了一种新的方法，即引入深度函数d进行高维数据的排序，从而得到基于深度函数d的秩向量。 |
| 9. | Since linear rank statistics has the most popularity in application in nonparametric statistics , this article fabricate the linear rank statistics based on depth function , and discussed its asymptotic property and application . particular result is as follows : 1
由于线性秩统计量是非参数统计中应用最广的一类统计量，所以本文构造了基于深度函数的线性秩统计量，并对其渐近性质和应用做了一些研究，具体结果如下： 1 |
| 10. | The experiment shows mbid can produce the enhanced pressure field at hydrophone array , provide modal domain representation of pressure ( modal functions and horizontal wavenumbers ) and target ' s bearing ( plane waves ) , and have good adaptive ability and robustness against mismatch
实验数据和模拟数据的结合验证了模基辨识器不仅能够产生增强的水听器阵处的声压场表示，而且能够输出模域表示(模深度函数和水平波数)和目标的方位(平面波模型) ，也具有较好的自适应性及对失配的宽容性。 |
