Ordered designs and Bayesian inference in survey sampling

Glen Meeden, Siamak Noorbaloochi

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

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. AMS (2000) subject classification. Primary 62D05; Secondary 62C10.

Original languageEnglish (US)
Pages (from-to)119-135
Number of pages17
JournalSankhya: The Indian Journal of Statistics
Volume72
Issue number1
DOIs
StatePublished - 2010

Keywords

  • Finite population sampling
  • Sampling designs Polya posterior and noninformative Bayesian

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