Regression model
多项逻辑回归
多项逻辑回归是一种最大似然方法，用于处理具有三个以上类别的名义型（无序）因变量。它建立在McFadden 1974年对定性选择的处理基础上，为每个类别提供了相对于参照类别的自身系数集。
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Method map
The neighbourhood of related methods — select a node to explore.
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来源
- 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
如何引用本页
ScholarGate. (2026, June 1). Multinomial Logistic Regression. ScholarGate. https://scholargate.app/zh/econometrics/multinomial-logit
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- 逻辑回归研究统计学↔ compare
- 负二项回归计量经济学↔ compare
- 普通最小二乘法 (OLS) 回归计量经济学↔ compare
- 有序逻辑回归（有序 Logit/Probit）计量经济学↔ compare
- 泊松回归与负二项回归计量经济学↔ compare