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

• On the basis of image segmentation, pixels in bubble segmentation region were calibrated. At the meantime, concept of sample distribution statistics was introduced. Moreover, some statistical characteristics, such as the average size of bubbles, variance, skewness and abruptness were extracted.
  在图像分割的基础上，对气泡分割区域像素进行标定，引入样本统计分布的概念，提取了气泡平均尺寸、方差、偏斜度及陡峭度等统计特征。
• Interval Estimates and Hypothetical Test Metod of Parameter On Few Sample Uniform Distribution
  小样本的均匀分布参数的区间估计和假设检验
• 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。
• 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。
• 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。
• The first version of this example, located in the webapps/ dwi18n/ multdir/ directory of the sample code distribution, makes use of multiple sets of JSP pages.
  示例的第一个版本位于示例代码发行包的webapps/dwi18n/multdir/目录中，它运用了多组JSP页面。
• 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
• 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。
• On the base of the situation in the sample distribution of feather space, it proposes object region extraction algorithm. Thirdly, achieve natural image object discernment system applying the Sparse Coding Theory.
  在样本在特征空间分布情况分析基础上，提出对象区域提取算法。之后应用稀疏编码理论，实现自然图像对象识别系统。
• The sample distribution was accorded with Hardy Weinberg principle.
  样本分布符合HardyWeinberg平衡。