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Bayarri, M. J.; Font, B.

A Bayesian comparison of cluster, strata, and random samples. (English) Zbl 0933.62009

J. Stat. Plann. Inference 78, No. 1-2, 277-294 (1999).
Summary: When sampling from finite populations, simple random sampling (SRS) is rarely used in practice, due to either high cost or information to be gained from more efficient designs. Bayesian hierarchical models are a natural framework to model the non-randomness in the sample. This paper concentrates on the effects that the design has on inference about characteristics of the finite population, and makes a critical comparison among some common designs.

Cited in 9 Documents

MSC:

62D05 Sampling theory, sample surveys
62F15 Bayesian inference
65C60 Computational problems in statistics (MSC2010)

Keywords:

Bayesian prediction; correlations; Gibbs sampling; non-random samples; simulations; finite populations; hierarchical models

Software:

Gibbsit
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Full Text: DOI

References:

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