Technical Notes on Survey Statistics in Python

In-depth articles on survey methodology, variance estimation, and svy features

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Technical notes covering complex survey analysis in Python: Taylor linearization, replication methods (BRR, jackknife, bootstrap), stratified and clustered designs, and design-based inference using the svy package.

Author

Mamadou S. Diallo

Modified

January 11, 2026

Keywords

survey statistics tutorials, Python survey analysis, complex survey methods, svy package guides, Taylor linearization, variance estimation, design-based inference

Explore technical notes covering specific topics, methods, and techniques for complex survey data analysis in Python.

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Validation of Design-Based Survey Estimators in Python: A Comparison of svy and R survey

A comprehensive side-by-side validation showing that svy produces numerically identical results to R’s survey package across Taylor linearization, replication methods (BRR, jackknife, bootstrap), and complex survey designs.

January 2026 • Mamadou S. Diallo

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