Estimating the conditional variance of a design consistent regression estimator
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Publication:1826243
DOI10.1016/0378-3758(90)90049-ZzbMath0685.62017OpenAlexW2069837496WikidataQ126536502 ScholiaQ126536502MaRDI QIDQ1826243
Publication date: 1990
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(90)90049-z
asymptoticsfinite populationrandom samplingconditionally unbiaseddesign consistent regression estimatordesign mean squared errormodel unbiased conditional variance estimatorYates-Grundy variance estimator
Related Items (5)
Optimal variance estimation for generalized regression predictor ⋮ Variance estimation in model assisted survey sampling ⋮ Setting confidence intervals by ratio estimator ⋮ Developments in sample survey theory: An appraisal ⋮ Randomization-assisted model-based survey sampling
Cites Work
- Implications of survey design for generalized regression estimation of linear functions
- Finite Population Sampling With Multivariate Auxiliary Information
- Characterization of best model-based predictors in survey sampling
- The Prediction Approach to Robust Variance Estimation in Two-Stage Cluster Sampling
- Some asymptotic results for the systematic and stratified sampling of a finite population
- A Class of Robust Sampling Designs for Large-Scale Surveys
- An Empirical Study of the Ratio Estimator and Estimators of its Variance
- Survey Design Under the Regression Superpopulation Model
- 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
- A Generalization of Sampling Without Replacement From a Finite Universe
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