Fast balanced sampling for highly stratified population

DOI10.1016/j.csda.2013.12.005zbMath1506.62078OpenAlexW2023252052MaRDI QIDQ1623450

Caren Hasler, Yves Tillé

Publication date: 23 November 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: http://doc.rero.ch/record/261150/files/Hasler_C-Fast_balances-20160624145737-UM.pdf

zbMATH Keywords

stratified samplingauxiliary informationunequal probability samplingbalanced samplingcube method

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Sampling theory, sample surveys (62D05)

Related Items (9)

Selecting Adaptive Survey Design Strata with Partial R‐indicators ⋮ Some Solutions Inspired by Survey Sampling Theory to Build Effective Clinical Trials ⋮ Balancedk-nearest neighbour imputation ⋮ Incorporating spatial and operational constraints in the sampling designs for forest inventories ⋮ Balancing a sample almost perfectly ⋮ Enhanced cube implementation for highly stratified population ⋮ An Efficient Approach for Statistical Matching of Survey Data Trough Calibration, Optimal Transport and Balanced Sampling ⋮ Exact balanced random imputation for sample survey data ⋮ Preserving the distribution function in surveys in case of imputation for zero inflated data

Uses Software

• Stratification
• ineq

Cites Work

• Optimal inclusion probabilities for balanced sampling
• Variance approximation under balanced sampling
• Optimum allocation in stratified surveys: stochastic programming
• Optimal stratification and grouping by dynamic programming
• Size constrained unequal probability sampling with a non-integer sum of inclusion probabilities
• Optimal allocation in balanced sampling
• On balanced random imputation in surveys
• Efficient balanced sampling: The cube method
• Minimum Variance Stratification
• Optimal sampling and estimation strategies under the linear model
• Design-based or Prediction-based Inference? Stratified Random vs Stratified Balanced Sampling
• A Generalization of Sampling Without Replacement From a Finite Universe
• The Equivalence of Neyman Optimum Allocation for Sampling and Equal Proportions for Apportioning the U.S. House of Representatives
• Introduction to variance estimation

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