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

• Compared experiments with the SPF algorithm showed that the sampling location of the algorithm is relatively fixed, the sample distribution is uniform and it can be achieved the requirement the particle diversity. 3.
  通过与SPF算法进行对比实验发现，该算法的采样位置相对固定，样本分布均匀，可以实现粒子多样性的要求。
• The Applying of Heteroscedastic Sample Sampling Distribution to the Test of the Guangxi White Pig Breeding
  异方差样本的抽样分布在广西白猪育种试验中的应用
• 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。
• 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
• About Sample Distribution of X2, T, F Statistic
  关于X~2，T，F统计量的抽样分布
• The over-convergence and uniformity validations are introduced to verify correspondence between sample distribution and sensor information for timely resampling which highly saves computational resource and enhances localization efficiency.
  同时在重采样过程中引入了过收敛检验与均匀性检验用于判断采样与感知信息的匹配程度，以适时进行重采样，节省了计算资源并提高了定位效率。
• At the same time, the representative pre-miRNAs are selected according to the pre-miRNA sample distribution as training samples.
  同时，基于miRNA前体在样本空间中分布，选择有代表性的miRNA前体作为训练样本。
• In all, the researches are small sample and distribution of a single region. It is lack of the comprehensive study with large scale and multi-centre.
  总体上各项研究均为小样本、单一地区的散发研究，缺少多中心大样本的综合研究。
• Incorporating the sample distribution information into the process of feature extraction is beneficial to promote the classification performance of features.
  把样本分布信息融于特征提取过程将有助于提高特征的分类能力。
• 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。