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Showing 1 to 6 of 6 for “"generalized poisson"”.
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A Piecewise Linear Generalized Poisson Regression Approach to Modeling Longitudinal Frequency Data
… of the data. We present a piecewise-linear, generalized Poisson regression model for longitudinal frequency data. Based on the generalized Poisson distribution, this model is flexible enough to allow for (and detect) underdispersion, equidispersion, or overdispersion in the data. We apply …
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On monitoring the attributes of a process
… are multivariate versions of the binomial, Poisson, and chi-squared distributions, plus univariate and multivariate generalized Poisson distributions. All of these distributions prove useful in the discussion of attribute control charts. When quality standards are known, p-charts and …
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Spatio-Temporal Cluster Detection and Local Moran Statistics of Point Processes
… under simulated multilevel Palm distribution, a generalized Poisson phenomenon where the clusters and dependence among the subareas are captured by the rate of increase of the process over time. Event propagation is built under spatial nested sequences over time. The Palm parameters, Moran …
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Modeling process dynamics in membrane-electrolyte-assemblies of chloralkali electrolyzers considering steric and hydration effects
… In general, the formulated model consists of the generalized Poisson-Nernst-Planck equation system coupled with the momentum balance. By considering the appropriate boundary conditions and mechanical equilibrium assumption, the model is then reduced into a 1-D modeling problem consisting of the …
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Impact of Quality Improvement Curriculum on Intensive Care Unit Upgrades by Resident Physicians
… of maximum likelihood was estimated by fitting a generalized Poisson linear regression model to the data. INTERVENTIONS: The primary intervention consisted of a quality improvement curriculum that involved structured case review of qualifying patient encounters, focusing on resident education and …
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Statistical modelling of the association between dietary diversity, dietary patterns and non-communicable diseases in Namibia
… AIC of the untruncated (conditional/marginal) Poisson regression model was lower and thus proved to fit the data better. The Frank Copula and Bivariate Normal Copula best fitted the data of establishing the relationship between HFIP and HDDS, and between HFIP and MIHFP respectively. Lastly, we …