Finding optimal estimators in survey sampling using unbiased estimators of zero
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Publication:1874083
DOI10.1016/S0378-3758(02)00460-3zbMath1011.62013MaRDI QIDQ1874083
Publication date: 22 May 2003
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
linear estimatorsregression modelssampling designfinite populationssuperpopulation modelsmean squared errors
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Cites Work
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- Studies on a general estimator in sampling, utilizing extraneous information through a sample weight function
- Prediction in finite population under error-in-variables superpopulation models
- On best unbiased prediction and its relationships to unbiased estimation
- When a Mean-of-Ratios is the Best Linear Unbiased Estimator Under a Model
- On prediction and mean squared error
- Some results on generalized difference estimation and generalized regression estimation for finite populations
- Survey Design Under the Regression Superpopulation Model
- Robust Estimation in Finite Populations I
- 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
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