NM-method

The NM-method or Naszodi–Mendonca method is the operation that can be applied in statistics, econometrics, economics, sociology, and demography to construct counterfactual contingency tables. The method finds the matrix X {\displaystyle X} ( X ∈ R n × m {\displaystyle X\in \mathbb {R} ^{n\times m}} ) which is "closest" to matrix Z {\displaystyle Z} ( Z ∈ N n × m {\displaystyle Z\in \mathbb {N} ^{n\times m}} called the seed table) in the sense of being ranked the same but with the row and column totals of a target matrix Y {\displaystyle Y} ( Y ∈ N n × m ) {\displaystyle (Y\in \mathbb {N} ^{n\times m})} .

Source: Wikipedia — NM-method (CC BY-SA 4.0)

NM-method

The NM-method or Naszodi–Mendonca method is the operation that can be applied in statistics, econometrics, economics, sociology, and demography to construct counterfactual contingency tables. The method finds the matrix X {\displaystyle X} ( X ∈ R n × m {\displaystyle X\in \mathbb {R} ^{n\times m}} ) which is "closest" to matrix Z {\displaystyle Z} ( Z ∈ N n × m {\displaystyle Z\in \mathbb {N} ^{n\times m}} called the seed table) in the sense of being ranked the same but with the row and column totals of a target matrix Y {\displaystyle Y} ( Y ∈ N n × m ) {\displaystyle (Y\in \mathbb {N} ^{n\times m})} .

Source: Wikipedia "NM-method" · CC BY-SA 4.0

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