A noninformative Bayesian approach for two-stage cluster sampling
نویسنده
چکیده
SUMMARY The polya posterior gives a noninformative Bayesian justification for various single-stage sampling procedures. Here this type of reasoning is extended to two-stage cluster sampling problems. The frequency properties of the resulting procedures are studied.
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