Hosmer-Lemeshow test in computing goodness of fit in logistic regression is revisited. Two different approaches in grouping are investigated. Fallacy of the original data arrangement is pointed out. Randomization of data is implemented in both the grouping methods and a decision process is suggested.

binary response model, maximum likelihood estimate, Newton-Raphson method.

Received: January 25, 2022; Accepted: March 16, 2022; Published: May 14, 2022

How to cite this article: Mezbahur Rahman, A note on Hosmer-Lemeshow test in logistic models, Far East Journal of Theoretical Statistics 64 (2022), 69-87. http://dx.doi.org/10.17654/0972086322003

This Open Access Article is Licensed under Creative Commons Attribution 4.0 International License

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