6533b871fe1ef96bd12d2396

RESEARCH PRODUCT

A Bayesian comparison of cluster, strata, and random samples

B. FontMaria J. Bayarri

subject

Statistics and Probabilityeducation.field_of_studyApplied MathematicsBayesian probabilityPopulationSampling (statistics)Sample (statistics)Simple random sampleStratified samplingsymbols.namesakeStatisticssymbolsCluster samplingStatistics Probability and UncertaintyeducationMathematicsGibbs sampling

description

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.

yearjournalcountryeditionlanguage
1999-05-01Journal of Statistical Planning and Inference
https://doi.org/10.1016/s0378-3758(98)00219-5