Estimating variances in survey data analysis is challenging due to the complex nature of survey designs. It is typically done through resampling methods like bootstrapping, which can be computationally intensive. The Survey.jl package leverages Julia to provide an efficient framework for these resampling techniques, facilitating faster survey data analysis.
Citation:
Survey.jl - An Efficient Framework for Analysing Complex Surveys, Siddhant Chaudhary, Iulia Dumitru, Nadia Enhaili, Shikhar Mishra, Ayush Patnaik, XKDR Forum Working Paper 33, November 2025.