On the efficiency of prediction estimators in two-stage sampling

DOI10.1016/0378-3758(86)90139-4zbMath0588.62019OpenAlexW2049091442MaRDI QIDQ1073482

J. N. K. Rao, David R. Bellhouse

Publication date: 1986

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0378-3758(86)90139-4

zbMATH Keywords

stratified samplingrandom permutation modelrelative efficiencyempirical studytwo-stage cluster samplingfinite population meanPPS samplingoptimal model-unbiased (prediction) estimatorprobability proportional to size

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Sampling theory, sample surveys (62D05)

Related Items (3)

Impact of frequentist and Bayesian methods on survey sampling practice: a selective appraisal ⋮ A unified approach to estimation and prediction under simple random sampling. ⋮ Asymptotically design-unbiased predictors for two-stage sampling

Uses Software

• AS 88

Cites Work

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• Implications of survey design for generalized regression estimation of linear functions
• On the estimate of the variance in unequal probability sampling
• Optimal estimation of a finite population mean under generalized random permutation models
• Inference about means from incomplete multivariate data
• On finite population sampling theory under certain linear regression models
• RATIO ESTIMATION AND FINITE POPULATIONS: SOME RESULTS DEDUCIBLE FROM THE ASSUMPTION OF AN UNDERLYING STOCHASTIC PROCESS
• Relative Accuracy of Systematic and Stratified Random Samples for a Certain Class of Populations

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