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Multinomial Logit/Evidence
Method evidence record

Multinomial Logit

Multinomial logistic regression is a maximum-likelihood method for a nominal (unordered) dependent variable with more than two categories. Building on McFadden's 1974 treatment of qualitative choice, it gives each category its own set of coefficients relative to a reference category.

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Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Multinomial Logistic Regression
Taxonomic method record · regression-model / econometrics
  • McFadden, D. (1974). Conditional Logit Analysis of Qualitative Choice Behavior. In P. Zarembka (Ed.), Frontiers in Econometrics (pp. 105-142). Academic Press. · ISBN 978-0127761503
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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

See alsoLogistic Regressionmachine-suggested · Relational suggestion, not evidence.Same method familyNegative Binomial Regressionmachine-suggested · Relational suggestion, not evidence.Same method familyOLS Regressionmachine-suggested · Relational suggestion, not evidence.Same method familyOrdered Logitmachine-suggested · Relational suggestion, not evidence.Same method familyPoisson Regressionmachine-suggested · Relational suggestion, not evidence.

Evidence status

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Sources

1 recorded citation, copied from the method source record.

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