Abstract Survey data are often collected under multistage sampling designs where units binned to clusters that sampled in a first stage. The unit-indexed population variables of interest typically dependent within cluster. We propose Fully Bayesian method constructs an exact likelihood for the observed sample incorporate unit-level marginal weights performing unbiased inference parameters while...

To estimate the variance for rare and cluster population has been main problemin survey sampling. Three ratio type estimators were proposed utilizing thesingle auxiliary variable assuming transformed adaptive sampling, inpresented study. The expressions mean square error bias of estimator werederived. estimatorswere used to finite in adaptivecluster simulationswereperformedon a real life data r...