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

• 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 Digital Characters of the p norm sample Distribution
  p-范分布母体抽样分布的数字特征
• 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。
• 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。
• 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。
• The mean shift algorithm is a nonparametric statistical method for seeking the nearest mode of a point sample distribution.
  均值移位算法是一种搜索与样本点分布最相近模式的非参数统计方法。
• 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 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 sample distribution was accorded with Hardy Weinberg principle.
  样本分布符合HardyWeinberg平衡。
• 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。