Iterative proportional fitting and RAS

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Iterative proportional fitting and RAS

Iterative proportional fitting vs. RAS

The iterative proportional fitting procedure (IPFP, also known as biproportional fitting in statistics, RAS algorithm in economics and matrix ranking or matrix scaling in computer science) is an iterative algorithm for estimating cell values of a contingency table such that the marginal totals remain fixed and the estimated table decomposes into an outer product. RAS or Ras may refer to.

Similarities between Iterative proportional fitting and RAS

Iterative proportional fitting and RAS have 0 things in common (in Unionpedia).

The list above answers the following questions

What Iterative proportional fitting and RAS have in common
What are the similarities between Iterative proportional fitting and RAS

Iterative proportional fitting and RAS Comparison

Iterative proportional fitting has 15 relations, while RAS has 47. As they have in common 0, the Jaccard index is 0.00% = 0 / (15 + 47).

References

This article shows the relationship between Iterative proportional fitting and RAS. To access each article from which the information was extracted, please visit:

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