Revisiting sample allocation methods: a simulation-based comparison

DOI10.1080/03610918.2019.1601214zbMath1497.62041OpenAlexW2943907608WikidataQ127938588 ScholiaQ127938588MaRDI QIDQ5082689

Flavio Verrecchia, Bianca Maria Martelli, Paola M. Chiodini, Giancarlo Manzi

Publication date: 21 June 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/2434/635276

zbMATH Keywords

Monte Carlo simulationstratified samplingbusiness surveyscompromise allocationinterior point nonlinear programing

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05) Reliability and life testing (62N05)

Uses Software

• SAS

Cites Work

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• Allocation Schemes for Estimating the Product of Positive Parameters
• Optimal Sampling Schemes for Estimating System Reliability by Testing Components--1: Fixed Sample Sizes
• On the Two Different Aspects of the Representative Method: The Method of Stratified Sampling and the Method of Purposive Selection
• Designing stratified sampling in economic and business surveys
• Comparison of Random Search Method and Genetic Algorithm for Stratification
• A Comparison of two Robust Estimation Methods for Business Surveys
• Stratification of Skewed Populations: A Comparison of Optimisation‐based versus Approximate Methods

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