A Monte Carlo comparison of some variance estimators of the Horvitz–Thompson estimator

DOI10.1080/00949650902718325zbMath1195.62006OpenAlexW2007469413MaRDI QIDQ3589952

Jigna S. Patel, P. A. Patel

Publication date: 17 September 2010

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949650902718325

zbMATH Keywords

calibrationauxiliary informationvariance estimationHorvitz-Thompson estimatormodel-baseddesign-based

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05) Monte Carlo methods (65C05)

Cites Work

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• Calibration Estimators in Survey Sampling
• Calibration of the estimators of variance
• Comparison of Variance Estimators of the Horvitz-Thompson Estimator for Randomized Variable Probability Systematic Sampling
• Efficient Estimators With Simple Variance in Unequal Probability Sampling
• Efficient Estimation of Quadratic Finite Population Functions in the Presence of Auxiliary Information
• Survey Design Under the Regression Superpopulation Model
• 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
• On the Theory of Sampling from Finite Populations

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