Results 21 to 30 of about 2,674 (172)
A produtividade dos autores sobre a Lei de Lotka Authors' productivity on Lotka's Law
Ciência da Informação, 2008 Estuda a produção estratificada dos autores produtores da literatura sobre a Lei de Lotka de 1922 a 2003 e analisa essa produtividade através dos modelos Poisson lognormal e Gauss Poisson inversa generalizada.
Ruben Urbizagastegui
doaj +1 more source
MANAGING HEART RELATED DISEASE RISKS IN BPJS KESEHATAN USING COLLECTIVE RISK MODELS
Media Statistika, 2023 BPJS Kesehatan is a legal entity established to administer the health service program using the insurance system. Heart related diseases is a disease with the largest coverage cost in Indonesia.
Gede Ary Prabha Yogesswara +2 more
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Misspecification Tests for Log-Normal and Over-Dispersed Poisson Chain-Ladder Models
Risks, 2018 Despite the widespread use of chain-ladder models, so far no theory was available to test for model specification. The popular over-dispersed Poisson model assumes that the over-dispersion is common across the data.
Jonas Harnau
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Misspecification in Generalized Linear Mixed Models and Its Impact on the Statistical Wald Test
Applied Sciences, 2023 Generalized linear mixed models are commonly used in repeated measurement studies and account for the dependence between observations obtained from the same experimental unit.
Diana Arango-Botero +2 more
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Ciência da Informação, 2010 Este trabajo analiza la productividad científica de los autores que han publicado documentos en cuatro revistas de ciencia de la información editadas en Colombia desde 1978 a 2009.
Cristina Restrepo Arango +1 more
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Mathematics, 2020 The aim of this paper is to introduce dependence between the claim frequency and the average severity of a policyholder or of an insurance portfolio using a bivariate Sarmanov distribution, that allows to join variables of different types and with ...
Ramon Alemany +3 more
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Relative risk of gastrointestinal cancers in Isfahan County, Iran, 2005–2010
Advanced Biomedical Research, 2022 Background: Spatial disease mapping is a widespread tool in ecological analysis to obtain accurate estimates for incidence, relative risks (RRs), prevalence, or mortality rates regarding to increase the incidence of gastrointestinal (GI) cancer in ...
Vahid Ahmadipanah +4 more
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Zero-inflation in the Multivariate Poisson Lognormal Family
Statistics and ComputingAbstract Analyzing high-dimensional count data is a challenge and statistical model-based approaches provide an adequate and efficient framework thatpreserves explainability. The (multivariate) Poisson-Log-Normal (PLN) modelis one such model: it assumes count data are driven by an underlying structuredlatent Gaussian variable, so that the ...
Batardière, Bastien +3 more
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Stat, 2020 Multivariate count data are commonly encountered through high‐throughput sequencing technologies in bioinformatics, text mining, or sports analytics. Although the Poisson distribution seems a natural fit to these count data, its multivariate extension is computationally expensive.
Sanjeena Subedi, Ryan P. Browne
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Advanced Intelligent Systems, EarlyView.This study introduces Cellular Material Network (CM‐Net), a pioneering machine learning architecture integrating physical information, to predict the mechanical properties of cellular materials. Comprehensive validation through simulations and experiments demonstrates its accuracy in predicting nonlinear behaviors, including initial peak compression ...
Sicong Zhou +5 more
wiley +1 more source