期刊名称：Sankhya. Series A, mathematical statistics and probability
印刷版ISSN：0976-836X
电子版ISSN：0976-8378
出版年度：2010
卷号：72
期号：1
页码：119-135
DOI：10.1007/s13171-010-0003-8
语种：English
出版社：Indian Statistical Institute
摘要：Many sampling designs, such as simple random sampling without replacement, can in principle be extended in a natural way so that the units continue to be selected until the population is exhausted. These designs impose a random order on the population. Here we show how such ordered designs can be used to define prior distributions over the population. For such priors the Bayesian analysis uses information that in standard frequentist methods is incorporated in the sampling design. The resulting methods will often have good frequentist properties.
关键词：Finite population sampling ; sampling designs Polya posterior and noninformative Bayesian
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