Weighted negative binomial distribution: properties and applications
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DOI: 10.1080/02664763.2025.2492277
Abstract: Here we consider a weighted version of the negative binomial distribution and illustrate its usefulness through fitting Covid-19 datasets. We obtain several important properties of the distribution such as probability generating function, cumulative distribution function,… read more here.
Keywords: binomial distribution; distribution; weighted negative; properties applications ... See more keywords
Exploring Multiscale Spatial Interactions: Multiscale Geographically Weighted Negative Binomial Regression
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DOI: 10.1080/24694452.2023.2289986
Abstract: In this article, I develop and implement the multiscale geographically weighted negative binomial (MGWNB) model, extending the spatially weighted interaction models by integrating a multiscale framework. This model effectively tackles the multiscale nonstationarity and overdispersion… read more here.
Keywords: weighted negative; regression; multiscale geographically; multiscale spatial ... See more keywords