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

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...

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Bibliographic Details
Main Authors: Abdul Hamid, Hamzah, Yap, Bee Wah, Xie, Xian-Jin, Ong, Seng Huat
Format: Article
Published: Taylor & Francis 2018
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