RAMÓN GUTIÉRREZ JÁIMEZ-rekin lankidetzan egindako argitalpenak (33)

2016

  1. Modelling and predicting electricity consumption in Spain using the stochastic Gamma diffusion process with exogenous factors

    Energy, Vol. 113, pp. 309-318

2014

  1. A bivariate stochastic Gamma diffusion model: Statistical inference and application to the joint modelling of the gross domestic product and CO2 emissions in Spain

    Stochastic Environmental Research and Risk Assessment, Vol. 28, Núm. 5, pp. 1125-1134

2013

  1. Metodologías activas en el análisis multivariante

    Probabilidad Condicionada: Revista de didáctica de la Estadística, Núm. 2, pp. 405-408

  2. Metodologías activas en el análisis multivariante

    Probabilidad Condicionada: Revista de didáctica de la Estadística, Núm. 1, pp. 405-408

2012

  1. A stochastic Gompertz model with logarithmic therapy functions: Parameters estimation

    Applied Mathematics and Computation, Vol. 219, Núm. 8, pp. 3729-3739

  2. A τ-power stochastic gamma diffusion process: Computational statistical inference and simulation aspects. A real example

    Applied Mathematics and Computation, Vol. 219, Núm. 4, pp. 1576-1588

  3. Detection, modelling and estimation of non-linear trends by using a non-homogeneous Vasicek stochastic diffusion. Application to CO 2 emissions in Morocco

    Stochastic Environmental Research and Risk Assessment, Vol. 26, Núm. 4, pp. 533-543

2010

  1. The effect of nested grid sampling on the parameter estimation of a spatial Gompertz diffusion

    Stochastic Environmental Research and Risk Assessment, Vol. 24, Núm. 4, pp. 539-546

2009

  1. Enseñanza de materias de Estadística Avanzada a partir de un nuevo repertorio de casos reales de aplicación

    1.as Jornadas andaluzas de innovación docente universitaria: 2 y 3 de diciembre de 2009, Córdoba

  2. La distribución generalizada univariante de Waring y el sistema discreto de Pearson: Estimación mediante el método de los momentos

    XXXI Congreso Nacional de Estadística e Investigación Operativa ; V Jornadas de Estadística Pública: Murcia, 10-13 de febrero de 2009 : Libro de Actas

  3. Modelling and forecasting vehicle stocks using the trends of stochastic Gompertz diffusion models: The case of Spain

    Applied Stochastic Models in Business and Industry, Vol. 25, Núm. 3, pp. 385-405

  4. The trend of the total stock of the private car-petrol in Spain: Stochastic modelling using a new gamma diffusion process

    Applied Energy, Vol. 86, Núm. 1, pp. 18-24

  5. Three-parameter stochastic lognormal diffusion model: Statistical computation and simulating annealing - Application to real case

    Journal of Statistical Computation and Simulation, Vol. 79, Núm. 1, pp. 25-38

  6. Un modelo de difusión Gompertz sobre el plano

    XXXI Congreso Nacional de Estadística e Investigación Operativa ; V Jornadas de Estadística Pública: Murcia, 10-13 de febrero de 2009 : Libro de Actas

2008

  1. A bivariate stochastic Gompertz diffusion model: Statistical aspects and application to the joint modeling of the Gross Domestic Product and CO 2 emissions in Spain

    Environmetrics, Vol. 19, Núm. 6, pp. 643-658

  2. Emissions of greenhouse gases attributable to the activities of the land transport: Modelling and analysis using I-CIR stochastic diffusion - The case of Spain

    Environmetrics, Vol. 19, Núm. 2, pp. 137-161

  3. Trend analysis and computational statistical estimation in a stochastic Rayleigh model: Simulation and application

    Mathematics and Computers in Simulation, Vol. 77, Núm. 2-3, pp. 209-217

  4. Trend analysis using nonhomogeneous stochastic diffusion processes. Emission of CO2; Kyoto protocol in Spain

    Stochastic Environmental Research and Risk Assessment, Vol. 22, Núm. 1, pp. 57-66

2007

  1. A diffusion model with cubic drift: Statistical and computational aspects and application to modelling of the global CO2 emission in Spain

    Environmetrics, Vol. 18, Núm. 1, pp. 55-69

  2. Likelihood ratio tests and applications in 2D lognormal diffusions

    Recent Advances in Stochastic Modeling and Data Analysis (World Scientific Publishing Co.), pp. 206-303