A semiparametric Poisson regression is proposed in modeling spatially clustered count data. The heterogeneous covariate effect across the clusters is formulated in the context of nonparametric regression while the random clustering effect is based on a parametric specification. We propose two estimation procedures: (1) the parametric and nonparametric parts are estimated simultaneously via pena...

Abstract Modeling bivariate (or multivariate) count data has received increased interest in recent years. The aim is to model the number of different but correlated counts taking into account covariate information. Bivariate Poisson regression models based on shock approach are widely used because their simple form and interpretation. However, these do not allow for overdispersion or negative c...

Poisson regression is a popular tool for modeling count data and is applied in a vast array of applications from the social to the physical sciences and beyond. Real data, however, are often overor under-dispersed and, thus, not conducive to Poisson regression. We propose a regression model based on the Conway–Maxwell-Poisson (COM-Poisson) distribution to address this problem. The COM-Poisson r...

background: malaria is a major cause of morbidity and mortality in nepal. the magnitude of malaria across the country is alarming and varies with location. therefore, the present study aimed to model malaria incidence rates during 1998 to 2009 in nepal. methods: data for the study were obtained from health management information system (hmis), ministry of public health. a negative binomial mode...

This work examines the relationship between 3-year pedestrian crash counts across Census tracts in Austin, Texas, and various land use, network, and demographic attributes, such as land use balance, residents' access to commercial land uses, sidewalk density, lane-mile densities (by roadway class), and population and employment densities (by type). The model specification allows for region-spec...

In this paper, a new bivariate absolutely continuous probability distribution is introduced. The distribution, which called the unit-sinh-normal (BVUSHN) arises by applying transformation to Birnbaum–Saunders (BVBS). main properties of proposal are studied in detail. addition, from BVUSHN regression model also For both and respective associated model, parameter estimation conducted classical ap...

Abstract Frailty models are the possible choice to counter problem of unobserved heterogeneity in individual risks disease and death. Based on earlier studies, shared frailty can be utilised analysis bivariate data related survival times (e.g. matched pairs experiments, twin or family data). In this article, we assume that acts additively hazard rate. A new class based generalised Lindley distr...