Iterative Proportional Fitting for a Two-Dimensional Table
A description of two-dimensional IPF that I prepared for my coworkers and fellow researchers. Please feel free to offer comments or corrections.
IPF is a big name for a pretty simple (but terrific) technique-- it is used quite a bit, but I think it could be used more. Nels Tomlinson handed down much of any knowledge that I have on IPF.
Here is a link to description of the 'loglin' function for R, which can be used to perform IPF.
Iterative Proportional Fitting for a Three-Dimensional Table
A description of three-dimensional IPF.
Iterative Proportional Fitting for a Four-Dimensional Table
A description of four-dimensional IPF.
Generating Synthetic Unit-Record Data from Published Marginal Tables
A paper by a professor from the University of Auckland that covers IPF and other techniques for cell estimation based on marginal totals, and offers computer code to perform these techniques.
Putting Iterative Proportional Fitting on the Researcher's Desk
A paper by Paul Norman, a professor at the University of Leeds, that describes IPF and an MS Excel macro to perform IPF on two-dimensional tables.
Adjustment of a Sampled Frequency Table When the Expected Marginal Totals are Known
If you have JSTOR, here is a useful and historically important text for IPF-- pp. 439-442 presents an early documentation of the technique. I've learned that there is an earlier (1937) documentation of the technique by a researcher named Kruithoff, but I haven't seen that paper and can't find a link to it (I'd love to see it, so please send me the link if you have it).
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