We used iterative proportional fitting to adjust the survey weights to match the population totals. 我们使用迭代比例拟合来调整调查权重,使其与总体汇总数一致。
After several iterations, the iterative proportional fitting procedure produced a contingency table whose row and column margins matched the targets. 经过多轮迭代后,迭代比例拟合过程生成了一张列联表,其行与列的边际总和与目标值一致。
Deming, W. E., & Stephan, F. F. (1940): On a Least Squares Adjustment of a Sampled Frequency Table When the Expected Marginal Totals are Known(早期经典论文,讨论对频数表在已知边际条件下的调整思想,与 IPF 密切相关)
Bishop, Y. M. M., Fienberg, S. E., & Holland, P. W. (1975): Discrete Multivariate Analysis: Theory and Practice(离散多元分析经典教材,讨论列联表与相关的迭代拟合方法)
Agresti, A.: Categorical Data Analysis(分类数据分析权威教材中常见对 IPF/边际约束拟合思想的介绍与应用)