Count regression models maintain a steadfast presence in modern applied statistics as
highlighted by their usage in diverse areas like biometry, ecology, and insurance. However …

Monitoring of offshore aquaculture zones is important to marine ecological environment
protection and maritime safety and security. Remote sensing technology has the advantages …

Railway level crossing (LX) safety continues to be one of the most critical issues for railways,
despite an ever-increasing focus on improving design and application practices. Accidents …

Abstract Negative Binomial Regression (NBR) is an alternative regression model to model
the relationship between the dependent variable in overdispersion count data and one or …

We investigate the class of splitting distributions as the composition of a singular multivariate
distribution and a univariate distribution. It will be shown that most common parametric count …

Problems of finding confidence intervals (CIs) and prediction intervals (PIs) for two-
parameter negative binomial distributions are considered. Simple CIs for the mean of a two …

In this paper, we propose a latent variable model for the analysis and clustering of high-
dimensional correlated and overdispersed count data. We use a set of random effects to …

Negative binomial distribution is the most used distribution to model macro-parasite burden
in hosts. However reliable maximum likelihood parameter estimation from data is far from …

The demand side in a power system has key importance in the evolving context of the
energy systems. Exploitation of possible flexibilities of the customer's behavior is considered …

Accurate statistical model of PET measurements is a prerequisite for a correct image
reconstruction when using statistical image reconstruction algorithms, or when pre-filtering …