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  • Search: person:"Marin, J.M."
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Year of publication
Subject
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Spain 2 Spanien 2 Accounting 1 BANKS 1 BARS 1 Binary mixture 1 Clustering 1 Heat transfer 1 IFRS 1 Laminar flow 1 Longitudinal multinomial model 1 MCMC computation 1 Microarray analysis 1 Mixture distributions 1 Multiple hypothesis testing 1 Non-central t-distribution 1 PAM 1 Rechnungswesen 1 Solidification 1 Solvency II 1 disability 1 local estimation 1 neural networks 1 splines 1
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Online availability
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Undetermined 8 Free 2
Type of publication
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Article 9 Book / Working Paper 3
Type of publication (narrower categories)
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Article in journal 2 Aufsatz in Zeitschrift 2 Arbeitspapier 1 Aufsatz im Buch 1 Book section 1 Conference paper 1 Graue Literatur 1 Konferenzbeitrag 1 Non-commercial literature 1 Working Paper 1
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Language
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Undetermined 7 English 5
Author
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Marín, J.M. 5 Marín Diazaraque, Juan M. 3 Aledo, Juana 2 Alonso González, Pablo 2 García Martínez, Fernando 2 Albarran, I. 1 Albarrán, I. 1 Albarrán, Irene 1 Alonso, P. J. 1 Benchimol, Andrés 1 Bernal, M.R. Rodríguez 1 El Rhafiki, T. 1 Gómez, E. 1 Gómez-Sánchez-Manzano, E. 1 Gómez-Villegas, M. A. 1 Gómez-Villegas, M.A. 1 Kousksou, T. 1 Mahdaoui, M. 1 Marin, J. M. 1 Marin, J.M. 1 Marín, J. M. 1 Marín, Juan Miguel 1 Rodríguez-Bernal, M.T. 1 Turégano, J.A. 1 Wiper, Michael P. 1 Zeraouli, Y. 1 de la Fuente, A. 1
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Institution
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Departament d'Economia i Història Econòmica, Universitat Autònoma de Barcelona 1 Departamento de Estadistica, Universidad Carlos III de Madrid 1
Published in...
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Energy 2 Journal of Multivariate Analysis 2 Computational Statistics & Data Analysis 1 Documentos de trabajo / Banco de España, Servicio de Estudios 1 Empirical economics : a journal of the Institute for Advanced Studies, Vienna, Austria 1 Journal of Applied Statistics 1 Mathematical and statistical methods for actuarial sciences and finance : MAF 2016 1 Revista de contabilidad : RC-SAR 1 Statistics and Econometrics Working Papers 1 UFAE and IAE Working Papers 1
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Source
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RePEc 8 ECONIS (ZBW) 4
Showing 1 - 10 of 12
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Some criticism to a general model in Solvency II : an explanation from a clustering point of view
Albarrán, I.; Alonso González, Pablo; Marín … - In: Empirical economics : a journal of the Institute for … 52 (2017) 4, pp. 1289-1308
Persistent link: https://www.econbiz.de/10011944076
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Projecting dynamic life tables using data cloning
Benchimol, Andrés; Albarrán, Irene; Marín, Juan Miguel; … - In: Mathematical and statistical methods for actuarial …, (pp. 43-57). 2017
Persistent link: https://www.econbiz.de/10012098762
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Firm-specific factors influencing the selection of accounting options provided by the IFRS : empirical evidence from Spanish market
Aledo, Juana; García Martínez, Fernando; Marín … - 2009
Persistent link: https://www.econbiz.de/10003932273
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Laminar flow in circular tube with internal solidification of a binary mixture
Mahdaoui, M.; Kousksou, T.; Marín, J.M.; El Rhafiki, T.; … - In: Energy 78 (2014) C, pp. 713-719
Laminar flow heat transfer in circular tube with internal solidification of a binary mixture of paraffin is investigated numerically. The problem of the solidification process is formulated using the enthalpy–porosity based method. The influence of various parameters such as: wall temperature,...
Persistent link: https://www.econbiz.de/10011117614
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Multiple hypothesis testing and clustering with mixtures of non-central t-distributions applied in microarray data analysis
Marín, J.M.; Rodríguez-Bernal, M.T. - In: Computational Statistics & Data Analysis 56 (2012) 6, pp. 1898-1907
Multiple testing analysis and clustering methodologies are usually applied in microarray data analysis. A combination of both methods to deal with multiple comparisons among groups obtained from microarray expressions of genes is proposed. Assuming normal data, a statistic which depends on...
Persistent link: https://www.econbiz.de/10011056509
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USING WEIBULL MIXTURE DISTRIBUTIONS TO MODEL HETEROGENEOUS SURVIVAL DATA
Marín, J.M.; Bernal, M.R. Rodríguez; Wiper, Michael P. - Departamento de Estadistica, Universidad Carlos III de … - 2003
In this article we use Bayesian methods to fit a Weibull mixture model with an unknown number of components to possibly right censored survival data. This is done using the recently developed, birth-death MCMC algorithm. We also show how to estimate the survivor function and the expected hazard...
Persistent link: https://www.econbiz.de/10005190184
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Nonlinear models of disability and age applied to census data
Albarran, I.; Alonso, P. J.; Marin, J. M. - In: Journal of Applied Statistics 38 (2011) 10, pp. 2151-2163
It is usually considered that the proportion of handicapped people grows with age. Namely, the older the man/woman, the more the level of disability he/she suffers. However, empirical evidence shows that this assessment is not always true, or at least, it is not true in the Spanish population....
Persistent link: https://www.econbiz.de/10009279031
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Optional accounting criteria under IFRSs and corporate characteristics : evidence from Spain : evidencia española
Aledo, Juana; García Martínez, Fernando; Marín … - In: Revista de contabilidad : RC-SAR 14 (2011) 1, pp. 59-85
Persistent link: https://www.econbiz.de/10009381244
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Sequences of elliptical distributions and mixtures of normal distributions
Gómez-Sánchez-Manzano, E.; Gómez-Villegas, M.A.; … - In: Journal of Multivariate Analysis 97 (2006) 2, pp. 295-310
Two conditions are shown under which elliptical distributions are scale mixtures of normal distributions with respect to probability distributions. The issue of finding the mixing distribution function is also considered. As a unified theoretical framework, it is also shown that any scale...
Persistent link: https://www.econbiz.de/10005021339
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Continuous Elliptical and Exponential Power Linear Dynamic Models
Gómez, E.; Gómez-Villegas, M. A.; Marín, J. M. - In: Journal of Multivariate Analysis 83 (2002) 1, pp. 22-36
This paper shows a generalization of the linear dynamic model, which is practical and easy to compute. The generalization is made by assuming a continuous elliptical joint distribution for the parameters and errors. Updated distribution and probabilistic characteristics of the current and future...
Persistent link: https://www.econbiz.de/10005221236
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