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Multivariate Stratified Sampling of Continuous Variables

This repository contains work on multivariate stratified sampling of continuous variables using clustering-based stratification and adapted-Neyman allocation.

Repository Structure

  • Local_testing/ — Scripts for local testing of specific seeds and methods.

  • multivar_datasets/ — Simulated and applied datasets used for the analysis.

  • Kmedoids/ — Run files for k-medoids clustering, with both Neyman-adapted and proportional allocation.

  • bb26/ — Benchmark method run files (SamplingStrata) for dataset × strata × sample size combinations.

  • CV/ — Minimum CV supplied to SamplingStrata for each dataset × strata × sample size combination.

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This repository contains results for our research on multivariate stratification of continuous variables using clustering-based stratification with Neyman-adapted allocation

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