Browsing by Subject "Overdispersion"
Now showing items 1-2 of 2
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Count Regression And Machine Learning Techniques For Zero-Inflated Overdispersed Count Data: Application To Ecological Data
(Springer, 2023)The aim of this study is to investigate the overdispersion problem that is rampant in ecological count data. In order to explore this problem, we consider the most commonly used count regression models: the Poisson, the ... -
Estimation of Missing Data in Ecological Studies Using Machine Learning Techniques
(North-West University (South Africa), 2023)The focus of this study is on the estimation of zero-inflated overdispersed count data that is rampant in ecological studies. This is a major challenge in population studies. The novelty of this study is to demonstrate ...