Examining some aspects of balanced sampling in surveys

DOI10.5705/SS.2013.244zbMath1359.62036OpenAlexW2575252527MaRDI QIDQ2960517

Éric Lesage, David Haziza, Guillaume Chauvet

Publication date: 17 February 2017

Published in: Statistica Sinica (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/39762b0bfd084cb2e2e2cc541a38100d0f38dbd7

zbMATH Keywords

inclusion probabilityMonte Carlo approximationrejective samplingdesign-based inferencecube algorithmGreg estimator

Mathematics Subject Classification ID

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

Related Items (2)

Some Solutions Inspired by Survey Sampling Theory to Build Effective Clinical Trials ⋮ Balancing a sample almost perfectly

This page was built for publication: Examining some aspects of balanced sampling in surveys