multi---stage-sampling网络多阶段抽样;多级抽样法 网络释义 1. 多阶段抽样 ... 总体被分 为若干子 群体 5. 5.多阶段抽样 多阶段抽样(Multi Stage Sampling) (Multi Stage Sampling) • 亦称多级抽样,在上述整...www.docin.com|基于26个网页 2. 多级抽样法 数学专业英语词汇_数学吧... ... multi sta...
多阶抽样 (Multi-stage sampling)多级抽样是指在抽取样本时，分为两个及两个以上的阶段从总体中抽取样本的一种抽样方式。其具体操作过程是：第一阶段，将总体分为若干个一级抽样单位，从中抽选若干个一级抽样单位入样；第二阶段，将入样的每个一级单位分成若干个二级抽样单位，从入样的每个一级单位中...
multi-stage sampling 释义 多阶段抽样;多阶抽样 实用场景例句 全部 Quarterly surveys need sample and those with multi - stage sampling multi - layer sample rotations. 目前的平衡两层次样本轮换模式只适用于一级单元规模较小时的两阶段抽样月度调查.
题目 多阶段抽样(multi-stage sampling)是先抽取群,但并不是调查群内的所有单位,而是再进行一步抽样,从选中的群中抽取出若干个单位进行调查群是初级抽样单位,第二阶段抽取的是最终抽样单位。将该方法推广,使抽样的段数增多,就称为多阶段抽样。 A.正确B.错误 相关知识点: 试题来源: 解析 A 反馈 收藏 ...
网络释义 1. 多阶段随机抽样 多阶段随机抽样,multi-stage random... ... ) multi-stage sampling 多阶段抽样 )multi-stage random sampling多阶段随机抽样... www.dictall.com|基于3个网页 2. 多段随机抽样 ...水线甚至是一个工厂的产品。5)多段随机抽样(multi-stage random sampling):是一种分阶段从调查...
Date Apr. 24, 1997A process for multi-phase extraction is carried out in an extraction apparatus comprising a multiplicity of stages connected in series, wherein each stage comprises an extraction and a reextraction chamber. In the extraction chamber, a raffinate phase is brought into contract ...
Date Apr. 24, 1997A process for multi-phase extraction is carried out in an extraction apparatus comprising a multiplicity of stages connected in series, wherein each stage comprises an extraction and a reextraction chamber. In the extraction chamber, a raffinate phase is brought into contract ...
aunion natio 联合natio [translate] aby retail customers. Using multi-stage sampling procedure, a total of 417 retail bank customers were selected 由零售顾客。 使用多级抽样做法,总共417名零售银行顾客被选择了 [translate] 英语翻译 日语翻译 韩语翻译 德语翻译 法语翻译 俄语翻译 阿拉伯语翻译 西班牙语翻译...
This research addresses the application problem ofmulti-stage samplingon random decrement method for parameter identification of a dynamic system. 本文将多阶段抽样技术应用于随机减量法中随机减量信号的提取,用以解决结构振动参数识别中计算量比较大的问题。
[15] proposed a two-stage algorithm. They extracted view-specific labels and then maximized the dependencies. Because the two-step algorithm model is suboptimal, an end-to-end single hidden layer feedforward neural network framework was proposed by Zhao et al. [16]. The performance of the ...