Investigating the power of goodness-of-fit tests for multinomial logistic regression

• Main Authors: Abdul Hamid, Hamzah, Yap, Bee Wah, Xie, Xian-Jin, Ong, Seng Huat
• Format: Article
• Published: Taylor & Francis 2018
• Subjects: QA Mathematics
• Online Access: http://eprints.um.edu.my/22742/; https://doi.org/10.1080/03610918.2017.1303727

Goodness-of-fit tests are important to assess if the model fits the data. In this paper we investigate the Type I error and power of two goodness-of-fit tests for multinomial logistic regression via a simulation study. The GoF test using partitioning strategy (clustering) in the covariate space, (Fo...