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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| Format: | Article |
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Taylor & Francis
2018
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