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Multinomial Logistic Regression

Multinomial logistic regression extends binary logistic regression to outcomes with three or more unordered categories. It models the log-odds of each category relative to a chosen reference category as a linear function of the predictors, and estimates all parameters simultaneously via maximum likelihood. It is the standard choice when the dependent variable is nominal with multiple levels.

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Rekod kaedah taksonomik · regression-model / statistics

Agresti, A. (2002). Categorical Data Analysis (2nd ed.). Wiley-Interscience. · ISBN 978-0471360933
Hosmer, D. W., Lemeshow, S., & Sturdivant, R. X. (2013). Applied Logistic Regression (3rd ed.). Wiley. · ISBN 978-0470582473

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Used in the same domainDiscriminant Analysismachine-suggested · Relational suggestion, not evidence.See alsoLogistic Regressionmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketOrdinal Logistic Regressionmachine-suggested · Relational suggestion, not evidence.See alsoRandom Forestmachine-suggested · Relational suggestion, not evidence.