Research Group
STATISTICAL METHODS WITH IMPRECISE RANDOM ELEMENTS
Research Group > Research interests

RESEARCH INTERESTS

  • Descriptive Statistics for imprecise data: set-valued/fuzzy set-valued data
  • Imprecisely-valued random elements (IREs): random sets and fuzzy random variables
  • Estimation and testing of real-valued parameters associated with the distribution of IREs
  • Estimation of the (imprecise) mean value of an IRE; methodologies and properties
  • Testing about the (imprecise) mean value of an IRE; methodologies and properties
  • Linear Models between IREs: regression/correlation analyses, ANOVA, ANCOVA
  • Simulation of IREs: methodologies. Applications to the empirical verification of results and to the development of comparative studies
  • Fuzzy representation of the distribution of a random variable; Characterizing representations. Applications to the statistical exploratory and inferential analyses of real-valued data
  • Robust location and scale measures for imprecisely-valued random elements (IREs): random sets and fuzzy random variables
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    Last modified (March 2015)