sample distribution

英 [ˈsɑːmpl ˌdɪstrɪˈbjuːʃn]

美 [ˈsæmpl ˌdɪstrɪˈbjuːʃn]

样品分布；样本分布；采样分布

计算机经济

英英释义

noun

• items selected at random from a population and used to test hypotheses about the population
  Synonym:samplesampling

双语例句

• Linearized sample cumulative distribution frequency
  线性化样本累积分布频数
• The result shows that, due to the effect of the parameters 'priori distribution, there is essential difference between the sample predictive distribution and its original statistical distribution, the former being the matrix t distribution and the latter matrix normal distribution.
  研究结果表明：由于参数先验分布的作用，样本的预报分布与其原统计分布有着本质性的差异，前者为从矩阵正态分布，而后者为矩阵t分布。
• About Sample Distribution of X2, T, F Statistic
  关于X~2，T，F统计量的抽样分布
• The work of estimating the tail dependence coefficient is simple, when the sample distribution is known and the observation data is enough, the banks can use the parametric model to estimate the coefficient. But in real world, these conditions always can not satisfy.
  尾部相关系数的估算较为便利，当样本分布已知且样本数据量充足时，采用参数估计尾部相关系数是非常有效的。但在信用风险管理中，这些条件有时并不具备。
• The Digital Characters of the p norm sample Distribution
  p-范分布母体抽样分布的数字特征
• Balanced and imbalanced data sets classification based on sample projection distribution
  基于样本投影分布的平衡不平衡数据集分类
• We use the information provided by sample projection distribution and sample size to determine the ratio of two classes of penalty factors and then obtain a new separating hyperplane.
  该算法根据样本投影分布和样本容量所提供的信息给出两类惩罚因子比例，从而得到一个新的分离超平面。
• The sample distribution was accorded with Hardy Weinberg principle.
  样本分布符合HardyWeinberg平衡。
• By balancing the training samples, dynamically resetting initial weights and adaptively evaluating net scales, some shortcomings of the BP algorithm, such as low convergence speed and high dependency on initial sample distribution are overcome, and the algorithm has become more robust and generic.
  通过平衡训练样本数量、动态重置初始权值、评定网络规模等措施，解决了BP算法收敛速度慢、受初始样本分布影响大等缺陷，提高了识别算法的稳健性和泛化能力。
• This algorithm is applied on the computer cluster of the multi-node environment, using FCM to implement a algorithm to adjust the sample distribution, so that multiple classifiers can be trained simultaneously on multiple nodes.
  该算法应用在多节点环境的计算机集群上，用FCM算法实现一种样本权重修正算法，使得多节点能够同时训练多个分类器。