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概率抽样的英文

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"概率抽样"怎么读用"概率抽样"造句

英文翻译手机手机版

  • probabilistic sampling
  • probability sampling
  • sampling probability

例句与用法

  • Random probability samples
    随机概率抽样
  • Non - probability sampling
    概率抽样
  • Inaccuracies in survey data attributable to “ the luck of the draw " in creating a probability sample
    在产生概率抽样时由于抽样不足而造成的数据偏差
  • Admissibility of strict ps sampling scheme in class of unequal probability sampling scheme without replacement
    抽样方案在不放回不等概率抽样方案中的可容许性
  • Sampling with unequal probabilities is an important sampling technique and very popular in practice
    不等概率抽样是抽样调查中一种重要的抽样形式,在实际中被广泛地应用。
  • A kind of probability sample in which a set interval is applied to a list often population to identity elements included in the sample ( e . g . , picking every 10th name )
    一种概率抽样.以一定的间隔来从人口名单中抽取所需的样本(如:每隔10个人抽取一次)
  • This paper focuses attention on using probabilistic simulation to describe this stochastic nature , and adopts the sequential monte - carlo algorithm to simulate each element status in photovoltaic system , and calculating responded reliability indices
    本文的重点是运用概率抽样描述这种不确定性,采用蒙特卡罗序贯仿真对光伏发电各环节状态进行概率模拟,并计算相关可靠性指标。
  • First , this paper gives an introduction of some methods of unequal probability sampling , their estimators and variance estimators , including sampling with pps with replacement , methods of sampling without replacement suggested by brewer , durbin , sampford , des raj , murthy , rao - hartley - cochran . then , at the basis of rao and bayless ' s study , we consider that population can be splited two random subpopulations , which are respectively drawn from different infinite super - populations , and compare the stabilities of estimators of the methods that given above . we find that the minor difference between two super - populations has great effect on the efficiency of the estimators for the population with moderately large coefficient of variation ( c . v . )
    本文首先从理论上介绍了若干种不等概率抽样方法,它们的估计量、估计量的方差及其估计,其中包括有放回ppz及pps抽样,不放回不等概率抽样中的brewer 、 durbin 、 sampford 、 desraj , murthy 、 rao - hartley - cochran等人的方法;其次,在rao和bayless两人就样本单元数n = 2的情形对上述抽样方法进行比较的基础上,将总体随机地分成两个子总体,视每个子总体取自不同的线性超总体,在文中,我们利用计算机实现随机分组,并通过画图比较各方法估计量的稳定性,结果表明,对变异系数c . v . ( x )较大的总体而言,两个超总体之间的微小差异将对估计量的稳定性产生很大的影响,从而说明rao和bayless的比较结果还不够完善。
用"概率抽样"造句  
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