Publicacións en colaboración con investigadores/as de Universidad de Castilla-La Mancha (57)

2023

  1. A methodology to D-augment experimental designs

    Chemometrics and Intelligent Laboratory Systems, Vol. 237

  2. Optimal Experimental Design for Physicochemical Models: A Partial Review

    Studies in Systems, Decision and Control (Springer Science and Business Media Deutschland GmbH), pp. 319-328

2022

  1. Estimators and D-optimal experimental designs for mixtures of binary responses

    Communications in Statistics: Simulation and Computation, Vol. 51, Núm. 4, pp. 1488-1502

  2. Fitting double hierarchical models with the integrated nested Laplace approximation

    Statistics and Computing, Vol. 32, Núm. 4

  3. Optimal designs for health risk assessments using fractional polynomial models

    Stochastic Environmental Research and Risk Assessment, Vol. 36, Núm. 9, pp. 2695-2710

2021

  1. Optimal designs for Antoine Equation

    Chemometrics and Intelligent Laboratory Systems, Vol. 214

2020

  1. A comparison of general-purpose optimization algorithms for finding optimal approximate experimental designs

    Computational Statistics and Data Analysis, Vol. 144

  2. Optimal dose calibration in radiotherapy

    Radiation Physics and Chemistry, Vol. 174

2017

  1. 18F-fluorodeoxyglucose positron emission tomography in the diagnosis of malignancy in patients with paraneoplastic neurological syndrome: a systematic review and meta-analysis

    European Journal of Nuclear Medicine and Molecular Imaging, Vol. 44, Núm. 9, pp. 1575-1587

  2. A computer tool for a minimax criterion in binary response and heteroscedastic simple linear regression models

    Computer Methods and Programs in Biomedicine, Vol. 138, pp. 105-115

  3. Optimal experimental design on the loading frequency for a probabilistic fatigue model for plain and fibre-reinforced concrete

    Computational Statistics and Data Analysis, Vol. 113, pp. 363-374

  4. Utility of 18F-FDG-PET/CT in patients suspected of paraneoplastic neurological syndrome: importance of risk classification

    Clinical and Translational Oncology, Vol. 19, Núm. 1, pp. 111-118

2016

  1. Glycolytic activity in breast cancer using 18 F-FDG PET/CT as prognostic predictor: A molecular phenotype approach

    Revista Espanola de Medicina Nuclear e Imagen Molecular, Vol. 35, Núm. 3, pp. 152-158

  2. D-optimal experimental designs for a mixture of Adair models

    Chemometrics and Intelligent Laboratory Systems, Vol. 154, pp. 150-161

  3. Examination of experimental conditions for the production of proton-rich and neutron-rich hypernuclei

    Physical Review C, Vol. 94, Núm. 4

  4. KL-optimal experimental design for discriminating between two growth models applied to a beef farm

    Mathematical Biosciences and Engineering, Vol. 13, Núm. 1, pp. 67-82

  5. Max–min optimal discriminating designs for several statistical models

    Statistics and Computing, Vol. 26, Núm. 6, pp. 1163-1172

  6. Optimal Designs for Implicit Models

    MODA 11 - ADVANCES IN MODEL-ORIENTED DESIGN AND ANALYSIS

  7. Optimal Experimental Designs in the Flow Rate of Particles

    Technometrics, Vol. 58, Núm. 2, pp. 269-276

  8. Valor de la 18F-FDG PET/TC basal en el linfoma folicular: comparación de las variables metabólicas y clínicas en la valoración pronóstica

    Revista Espanola de Medicina Nuclear e Imagen Molecular, Vol. 35, Núm. 5, pp. 298-305