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Raking

From Wikipedia, the free encyclopedia

Raking (also called "raking ratio estimation" or "iterative proportional fitting") is the statistical process of adjusting data sample weights of a contingency table to match desired marginal totals.[1][2][3]

References

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  1. "1. How different weighting methods work". 26 January 2018.
  2. Kalton, Graham; Flores-Cervantes, Ismael (2003). "Weighting Methods" (PDF). Journal of Official Statistics. 19 (2): 81–97.
  3. Battaglia, Michael; Izrael, David (2009). "Practical Considerations in Raking Survey Data". Survey Practice. 2 (5): 1–10. doi:10.29115/SP-2009-0019.