Publicaciones (45) Publicaciones de BEATRIZ SINOVA FERNANDEZ

2023

  1. Empirical Analysis of the Maxbias of the Fuzzy MDD-based Hampel M-estimator of Location

    Studies in Systems, Decision and Control (Springer Science and Business Media Deutschland GmbH), pp. 447-456

  2. The zonoid region parameter depth

    Statistical Papers, Vol. 64, Núm. 6, pp. 2183-2205

2022

  1. On depth-based fuzzy trimmed means and a notion of depth specifically defined for fuzzy numbers

    Fuzzy Sets and Systems, Vol. 443, pp. 87-105

2021

  1. Location-Free Robust Scale Estimates for Fuzzy Data

    IEEE Transactions on Fuzzy Systems, Vol. 29, Núm. 6, pp. 1682-1694

  2. M-estimators and trimmed means: from Hilbert-valued to fuzzy set-valued data

    Advances in Data Analysis and Classification, Vol. 15, Núm. 2, pp. 267-288

2020

  1. Special issue on 9th International Conference on Soft Methods in Probability and Statistics (SMPS)

    International Journal of Approximate Reasoning

2019

  1. Descriptive comparison of the rating scales through different scale estimates: Simulation-based analysis

    Advances in Intelligent Systems and Computing

  2. Empirical analysis of the maximum asymptotic bias of location estimators for fuzzy number-valued data

    International Journal of Approximate Reasoning, Vol. 113, pp. 1-13

  3. Empirical comparison of the performance of location estimates of fuzzy number-valued data

    Advances in Intelligent Systems and Computing

2018

  1. A spatial-type interval-valued median for random intervals

    Statistics, Vol. 52, Núm. 3, pp. 479-502

  2. Advantages of M-estimators of location for fuzzy numbers based on Tukey's biweight loss function

    International Journal of Approximate Reasoning, Vol. 93, pp. 219-237

  3. M-estimators of location for functional data

    Bernoulli, Vol. 24, Núm. 3, pp. 2328-2357

  4. Scale Equivariant Alternative for Fuzzy M-Estimators of Location

    Studies in Systems, Decision and Control (Springer International Publishing), pp. 733-743

2017

  1. Measuring the dissimilarity between the distributions of two random fuzzy numbers

    Advances in Intelligent Systems and Computing

  2. Robust scale estimators for fuzzy data

    Advances in Data Analysis and Classification, Vol. 11, Núm. 4, pp. 731-758

  3. Tukey’s biweight loss function for fuzzy set-valued M-estimators of location

    Advances in Intelligent Systems and Computing

2016

  1. Descriptive analysis of responses to items in questionnaires. Why not using a fuzzy rating scale?

    Information Sciences, Vol. 360, pp. 131-148

  2. Hypothesis testing for means in connection with fuzzy rating scale-based data: algorithms and applications

    European Journal of Operational Research, Vol. 251, Núm. 3, pp. 918-929

  3. M-Estimates of Location for the Robust Central Tendency of Fuzzy Data

    IEEE Transactions on Fuzzy Systems, Vol. 24, Núm. 4, pp. 945-956

  4. M-estimators of location for interval-valued random elements

    Chemometrics and Intelligent Laboratory Systems, Vol. 156, pp. 115-127