Abstract
The logistic regression model has been widely used in statistical literature for analyzing categorical data. In this chapter we present many other useful discrete data models. If the data collection process is retrospective, then we end up with different biased sampling problems.
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Qin, J. (2017). Discrete Data Models. In: Biased Sampling, Over-identified Parameter Problems and Beyond. ICSA Book Series in Statistics. Springer, Singapore. https://doi.org/10.1007/978-981-10-4856-2_13
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DOI: https://doi.org/10.1007/978-981-10-4856-2_13
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Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-4854-8
Online ISBN: 978-981-10-4856-2
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