样本统计量

  • 网络sample statistic;statistic
样本统计量样本统计量
  1. NA序列下的Wilcoxon两样本统计量

    The Wilcoxon Two-sample Statistic For NA Sequences

  2. 常相关样本统计量公布的应用

    An Application of the Distribution of a Statistic of Constant Correlated Sample

  3. 小样本DF统计量的分布特征

    Distribution of Small Sample DF Statistic

  4. 本文提出了一种用于快速图象匹配的序贯判决方法,它以大偏差样本作为统计量,在给定配准概率PD和伪配准概率PF的条件下导出了门限序列的表达式。

    Using the number of large deviation samples as statistics , a new sequential decision method for fast image matching is proposed . Under the condition that registration probability PD and false registration probability PF are given , the threshold sequence expression is derived .

  5. 两样本对称统计量的Berry-Esseen定理

    A Berry ─ Esseen Theorem for Two ─ sample symmetric Statistics

  6. m-相依样本U-统计量r-平均收敛速度

    On the rate of convergence in the r-th mean of U-statistics with m-dependent samples

  7. 将高光谱图像分成波段子集进行特征提取,利用对图像中噪声程度及目标、背景之间可分性敏感的特征样本高阶统计量构造基本置信指派函数,通过DS证据推理实现特征层智能融合异常检测。

    Features were extracted from subband sets of hyperspectral imagery , then fusion algorithm for detection was implemented by D-S evidence reasoning while basic belief assignment function was constructed involving high-order moments of features .

  8. 本文上要讨论多组样本下GL-统计量的渐近分布。

    In this paper , we attempt to get the approximate distribution of multi-sample GL-statistic .

  9. 配对样本符号秩统计量

    Paired sample signed-rank statistic

  10. 本文通过构建基于样本点的统计量,实现了对非正态假定下贝叶斯动态线性模型的监控。

    In this paper , by constructing the statistic based on sampling points , we realize the monitoring of Bayesian Dynamic Linear Models without normal assumptions .

  11. 在总体差异性分析中,本文利用计算样本数据的统计量,描述样本的分布情况,不仅反映了样本总体的差异情况,也可以为深入的数据分析奠定基础。

    In the analysis of macro-distribution difference , the paper describes the data distribution with calculating statistic feature , which does not only reflect the difference among the samples form different collectivity , but also establish the foundation for later task of data analysis .

  12. 在适当的条件下,对一些特殊的边界函数和权函数讨论了其精致渐近性的结果,并且通过适当的选取参数,即可得到基于非随机样本的次序统计量的结果。

    Then , under some suitable conditions , we obtain the precise asymptotics of them for some special boundary functions and weight functions . At the same time , we can obtain the results of order statistics based on non-random sample by select a special parameter .

  13. 根据序贯次序统计量与非齐次纯生过程事件发生时刻向量之间的一一对应性质,给出了两样本序贯次序统计量在多维似然比序、多维失效率序和多维通常随机序下的随机比较;

    Furthermore , based on the interrelationship between sequential order statistics and epoch times of nonhomogeneous pure birth ( NHPB ) processes , we obtain stochastic comparisons of two-sample sequential order statistics in the multivariate likelihood ratio , the hazard rate , and the usual stochastic orders .

  14. 本文我们证明了,当Gamma分布的形状参数小于1时,样本的对应秩序统计量之间存在一致的一般随机序;

    In this paper , we show that the order statistic of gamma distribution is larger in stochastic order when the shape parameter is smaller than or equal to 1 and the scale parameters are more dispersed in the sense of majorization .

  15. 由一段样本产生的U-统计量的强极限定理

    Strong limit theorems for U-statistics generated by a segment of a sample

  16. 统计模式分析是一种新的数据变换方式,即对原始数据样本进行各阶统计量的计算。

    SPA is a novel method for data transformation which calculates the different orders statistics of the original data set .

  17. 通过采集样本数据,得出样本统计量,进而运用这些统计量测定假设的总体参数在一定程度上是可靠的,并做出承认还是拒绝该假设的判断。

    It used sample data to obtain sample statistics , and then use it to assume that the overall parameters of these data are reliable to a certain extent , and made to admit or reject the hypothetical judgment .