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Considers missing data models techniques and non-standard models (ZIP and negative binomial). Features discussion of univariate and multivariate techniques. Bayesian Models for Categorical Data continues to build upon this foundation by developing their application to categorical, or discrete data – one of the most common types of data available.
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