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Survey.jl - An Efficient Framework for Analysing Complex Surveys

Author

Listed:
  • Ayush Patnaik

    (xKDR Forum)

  • Nadia Enhaili

    (Simon Fraser University)

  • Siddhant Chaudhary

    (Chennai Mathematical Institute)

  • Shikhar Mishra

    (xKDR Forum)

  • Iulia Dumitru

    (Politehnica University of Bucharest)

Abstract

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.

Suggested Citation

  • Ayush Patnaik & Nadia Enhaili & Siddhant Chaudhary & Shikhar Mishra & Iulia Dumitru, 2025. "Survey.jl - An Efficient Framework for Analysing Complex Surveys," Working Papers 33, xKDR.
    • Handle: RePEc:anf:wpaper:33
    as

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    File URL: https://papers.xkdr.org/papers/2025Patnaiketal_surveyjlAnEfficientFramework.pdf
    File Function: First version, 2025
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    References listed on IDEAS

    as
    1. Lumley, Thomas, 2004. "Analysis of Complex Survey Samples," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 9(i08).
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