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Conditional and Restricted Pareto Sampling: Two New Methods for Unequal Probability Sampling

机译:有条件的和受限制的帕累托采样:不等概率采样的两种新方法

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Two new unequal probability sampling methods are introduced: conditional and restricted Pareto sampling. The advantage of conditional Pareto sampling compared with standard Pareto sampling, introduced by Rosen (J. Statist. Plann. Inference, 62,1997,135,159), is that the factual inclusion probabilities better agree with the desired ones. Restricted Pareto sampling, preferably conditioned or adjusted, is able to handle cases where there are several restrictions on the sample and is an alternative to the recent cube method for balanced sampling introduced by Deville and Tille (Biometrika, 91,2004,893). The new sampling designs have high entropy and the involved random numbers can be seen as permanent random numbers.
机译:引入了两种新的不等概率抽样方法:条件抽样和受限帕累托抽样。与Rosen(J. Statist。Plann。Inference,62,1997,135,159)引入的标准Pareto采样相比,条件Pareto采样的优点在于,事实包含概率更好地与所需的包含概率一致。有限的帕累托采样(最好是经过条件处理或调整后的采样)能够处理对样品有多个限制的情况,并且是Deville和Tille引入的最新立方方法(用于平衡采样)(Biometrika,91,2004,893)。新的采样设计具有较高的熵,并且所涉及的随机数可以看作是永久随机数。

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