A Graphical Tool for Interpreting Regression Coefficients of Trinomial Logit Models

DOI10.1080/00031305.2018.1442368OpenAlexW2792218027WikidataQ130147532 ScholiaQ130147532MaRDI QIDQ5868185

Giuseppe Espa, Flavio Santi

Publication date: 20 September 2022

Published in: The American Statistician (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00031305.2018.1442368

zbMATH Keywords

vector fieldgeneralized linear modelmarginal effectmultinomial logit modelternary plot

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• Fahrmeir

Cites Work

• Multivariate statistical modelling based on generalized linear models. With contributions by Wolfgang Hennevogl
• CONDITIONAL AND MULTINOMIAL LOGITS AS BINARY LOGIT REGRESSIONS
• Calculation of Polychotomous Logistic Regression Parameters Using Individualized Regressions
• Univariate Discrete Distributions
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