Parameter estimation - Resultats de la cerca - Dipòsit Digital de Documents de la UAB

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Resultats globals: 4 registres trobats en 0.03 segons.
Articles, 3 registres trobats Documents de recerca, 1 registres trobats

Articles	3 registres trobats

15 p, 1.3 MB

Stochastic simulation of successive saves of COVID-19 in the province of Barcelona / Bosman, Martine ; Esteve, Albert (Centre d'Estudis Demogràfics) ; López Gay, Antonio (Universitat Autònoma de Barcelona. Departament de Geografia) ; Manera, Marc (Universitat Autònoma de Barcelona. Departament de Física) ; Gabbanelli, Luciano ; Jordan, Javier ; Martínez, M. ; Masjuan Queralt, Pere (Universitat Autònoma de Barcelona. Departament de Física) ; Mir, Ll. M. ; Paradells, J. ; Pignatelli, A. ; Riu, I. ; Vitagliano, V. ; López Gay, Antonio (Centre d'Estudis Demogràfics)
Analytic compartmental models are currently used in mathematical epidemiology to forecast the COVID-19 pandemic evolution and explore the impact of mitigation strategies. In general, such models treat the population as a single entity, losing the social, cultural and economical specificities. [...]
2023 - DOI (Digital Object Identifier)

10.1016/j.idm.2022.12.005
Infectious Disease Modelling, Vol. 8 (2023) , p. 145-158

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16 p, 872.5 KB

Modelling the cardiovascular system for assessing the blood pressure curve / Myers, T. G. (Centre de Recerca Matemàtica) ; Ribas Ripoll, Vicent (Centre de Recerca Matemàtica) ; Sáez de Tejada Cuenca, Anna (Centre de Recerca Matemàtica) ; Mitchell, Sarah L. (University of Limerick. Department of Mathematics and Statistics) ; McGuinness, Mark J. (Victoria University of Wellington. Statistics and Operations Research)
A four compartment model of the cardiovascular system is developed. To allow for easy interpretation and to minimise the number of parameters, an effort was made to keep the model as simple as possible. [...]
2017 - DOI (Digital Object Identifier)

10.1155/2017/9015914
Mathematics-in-industry case studies, Vol. 8 (April 2017) , art. 2

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20 p, 986.1 KB

Parameter estimation of S-distributions with alternating regression / Chou, I-Chun (Georgia Institute of Technology and Emory University) ; Martens, Harald (Norwegian U. of Life Sciences) ; Voit, Eberhard O. (Georgia Institute of Technology and Emory University)
We propose a novel 3-way alternating regression (3-AR) method as an effective strategy for the estimation of parameter values in S-distributions from frequency data. The 3-AR algorithm is very fast and performs well for error-free distributions and artificial noisy data obtained as random samples generated from S-distributions, as well as for traditional statistical distributions and for actual observation data. [...]
2007
SORT : statistics and operations research transactions, Vol. 31, Núm. 1 (January-June 2007) , p. 55-74

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Documents de recerca	1 registres trobats

25 p, 343.8 KB

An Introduction to parametric and non-parametric models for bivariate positive insurance claim severity distributions / Pitt, David (University of Melbourne. Department of Economics) ; Guillén, Montserrat (Universitat de Barcelona. Departament d'Econometria) ; Xarxa de Referència en Economia Aplicada (XREAP)
We present a real data set of claims amounts where costs related to damage are recorded separately from those related to medical expenses. Only claims with positive costs are considered here. Two approaches to density estimation are presented: a classical parametric and a semi-parametric method, based on transformation kernel density estimation. [...]
Xarxa de Referència en Economia Aplicada (XREAP) 2010 (XREAP ; 2010-3)

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