不等概率 meaning in Chinese
unequal probability
Examples
- 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。 - 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。