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

• Flow fields and the sample particle distribution were calculated under different circumstances.
  计算了不同情况下的流场分布和样本粒子分布。
• In this paper, suppose that the sample distribution of AR ( p) sequence is an elliptical distribution, or the white noise of AR ( p) sequence is elliptical white noise.
  本文中，设AR（p）序列的样本分布为椭球分布，AR（p）序列的噪声为椭球白噪声。
• The sample distribution was accorded with Hardy Weinberg principle.
  样本分布符合HardyWeinberg平衡。
• About Sample Distribution of X2, T, F Statistic
  关于X~2，T，F统计量的抽样分布
• 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。
• There were differences of range and percent between sample distribution and those of corresponding normal distribution for bust girth, waist girth, and hip girth.
  胸围、腰围、臀围的分布范围和分布比例与正态分布存在差异。
• Study on the Sample Plot Distribution and Abnormal Sample Plot Probe in Monitoring Area with Principal Components Analysis
  主分量分析在监测区域样地分布及异常样地探测中的研究
• 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。
• 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 dissertation present another view, sample is an abstraction of the real world, and its space distribution conforms to regular rules, so the covering model can be seen as an approximation of the sample space distribution.
  本文从另外一个角度考虑，认为样本是对客观世界的抽象描述，它在空间中的分布具有一定的规律，覆盖则是某种程度上对样本空间分布的一种近似。