Results 51 to 60 of about 3,128,130 (383)
Modelling children ever born using performance evaluation metrics: A dataset
Predicting the number of total children ever born in a country is a key component for proper implementation of economic growth policy. Here, performance metrics were used to predict models that appropriately describe the factors that affect children ever
Jecinta U. Ibeji+3 more
doaj
Algebraic geometry of Poisson regression
Designing experiments for generalized linear models is difficultbecause optimal designs depend on unknown parameters. Here weinvestigate local optimality. We propose to study for a given designits region of optimality in parameter space. Often these regions aresemi-algebraic and feature interesting symmetries.
Rainer Schwabe+2 more
openaire +3 more sources
Objective We estimated incidence rates of avoidable hospitalizations by persons with rheumatoid arthritis (RA) relative to the general population. Methods We identified individuals meeting a validated case definition for RA based on International Classification of Diseases, Ninth Revision, Clinical Modification (ICD‐9‐CM) and ICD‐10‐CA codes in years ...
Dani G. Contreras+6 more
wiley +1 more source
POISSON REGRESSION MODELS TO ANALYZE FACTORS THAT INFLUENCE THE NUMBER OF TUBERCULOSIS CASES IN JAVA
Tuberculosis is an infectious disease and one of the world's top 10 highest causes of mortality in Indonesia. Based on this fact, it is necessary to study what factors affect number of tuberculosis cases.
Yekti Widyaningsih+1 more
doaj +1 more source
This study presents a 3D representative volume element‐based simulation approach to predict mesoscopic residual stress and strain fields in silicon solid solution‐strengthened ductile cast iron. By modeling phase transformation kinetics with an enhanced Johnson–Mehl–Avrami–Kolmogorov model, the effects of varying cooling rates on residual stresses are ...
Lutz Horbach+6 more
wiley +1 more source
This paper introduces Bayesian analysis and demonstrates its application to parameter estimation of the Poisson regression via Markov Chain Monte Carlo (MCMC) algorithm using roommate conflict data.
Acquah J. De-Graft
doaj +1 more source
Testing for zero-modification in count regression models [PDF]
Count data often exhibit overdispersion and/or require an adjustment for zero outcomes with respect to a Poisson model. Zero-modified Poisson (ZMP) and zero-modified generalized Poisson (ZMGP) regression models are useful classes of models for such ...
Czado, Claudia, Min, Aleksey
core +2 more sources
This article investigates residual stress formation during single‐spot nanosecond laser ablation of stainless steel. Experimental validation and a parametric study using finite element simulations are employed to analyze thermal effects, ablation dynamics, and stress evolution.
Yutaka Tsumura+7 more
wiley +1 more source
Does a Gibbs sampler approach to spatial Poisson regression models outperform a single site MH sampler? [PDF]
In this paper we present and evaluate a Gibbs sampler for a Poisson regression model including spatial e ects. The approach is based on Frühwirth-Schnatter and Wagner (2004b) who show that by data augmentation using the introduction of two sequences of ...
Czado, Claudia, Gschlößl, Susanne
core +4 more sources
Computational Modeling of Reticular Materials: The Past, the Present, and the Future
Reticular materials are advanced materials with applications in emerging technologies. A thorough understanding of material properties at operating conditions is critical to accelerate the deployment at an industrial scale. Herein, the status of computational modeling of reticular materials is reviewed, supplemented with topical examples highlighting ...
Wim Temmerman+3 more
wiley +1 more source