Abstract Within the framework of probability models for overdispersed count data, we propose generalized fractional Poisson distribution (gfPd), which is a natural generalization (fPd), and standard distribution. We derive some properties gfPd more specifically study moments, limiting behavior other features fPd. The skewness suggests that fPd can be left-skewed, right-skewed or symmetric; this...

Spatial count data models are used to explain and predict the frequency of phenomena such as traffic accidents in geographically distinct entities census tracts or road segments. These typically estimated using Bayesian Markov chain Monte Carlo (MCMC) simulation methods, which, however, computationally expensive do not scale well large datasets. Variational Bayes (VB), a method from machine lea...

The methanolic extracts of Indigofera aspalathoides (MEIA) and Wedelia calendulaceae (MEWC) were evaluated for their anticancer activity against Ehrlich Ascites Carcinoma (EAC) in Swiss albino mice. On day 1, the extract of Indigofera aspalathoides at a dose of 250 and 500 mg/kg body weight and the extract of Wedelia calendulaceae at a dose of 250 and 500 mg/kg body weight were administered ora...

Abstract A flexible semiparametric class of models is introduced that offers an alternative to classical regression for count data as the Poisson and Negative Binomial model, well more general accounting excess zeros are also based on fixed distributional assumptions. The model allows itself determine distribution response variable, but, in its basic form, uses a parametric term specifies effec...

The methanolic extracts of Indigofera aspalathoides (MEIA) and Wedelia calendulaceae (MEWC) were evaluated for their anticancer activity against Ehrlich Ascites Carcinoma (EAC) in Swiss albino mice. On day 1, the extract of Indigofera aspalathoides at a dose of 250 and 500 mg/kg body weight and the extract of Wedelia calendulaceae at a dose of 250 and 500 mg/kg body weight were administered ora...

"This paper deals with the estimation of single equation models in which the counts are regressed on a set of observed individual characteristics such as age, gender, or nationality.... We propose a generalized event count model to simultaneously allow for a wide class of count data models and account for over- and underdispersion. This model is successfully applied to German data on fertility...

Rule-based modelers dislike direct enumeration of cases when more efficient means of enumeration are available. We present an extension of the Kappa language which attaches to agents a notion of level. We detail two encodings that are more concise than the former practice. Rule-based languages are a well-established framework for modeling proteinprotein interactions. Kappa [2,1] is a rule-based...