Count data containing both excess zeros and ones occur in many fields, the zero-and-one inflated distribution is suitable for analyzing them. Herein, we construct confidence intervals (CIs) parameters of cosine geometric (ZOICG) constructed by using five methods: a Wald CI based on maximum likelihood estimate, equal-tailed Bayesian CIs uniform or Jeffreys prior, highest posterior density prior....

Spatial disease modeling remains an important public health tool. For cholera, the presence of zero counts is common. The Poisson model inadequate to (1) capture over-dispersion, and (2) distinguish between excess zeros arising from non-susceptible susceptible populations. In this study, we develop zero-inflated (ZI) mixture spatially varying coefficient (SVC) models sources uncover effects pre...

Clinicians need to predict the number of involved nodes in breast cancer patients in order to ascertain severity, prognosis, and design subsequent treatment. The distribution of involved nodes often displays over-dispersion-a larger variability than expected. Until now, the negative binomial model has been used to describe this distribution assuming that over-dispersion is only due to unobserve...

In this paper, we provide a framework for investigation and quantification of impact of object-oriented design choices on the defects in software systems. We report the initial results of an extensive case study, which strongly reinforce earlier, mainly anecdotal, evidence that design aspects related to inheritance and communication between classes can be used as indicators of the most defect-p...

Background: Mothers’ delivery is one of the most common hospitalization factors throughout the world and it’s modeling can explain distribution and effective factors on rising and decreasing of it. The objective of the present study was a suitable modeling for mother hospitalization time and comparing it with different models. Materials & Methods: Present study is an observational and cross-s...

In a Poisson regression model, where observations are either clustered or represented by repeated measurements of counts, the number of observed zero counts is sometimes greater than the expected frequency by the Poisson distribution and the non-zero part of count data may be overdispersed. The zero-inflated negative binomial (ZINB) mixed regression model is suggested to analyze such data. Prev...