Fuzzy data analysis by possibilistic linear models
Fuzzy Sets and Systems - Fuzzy Numbers
Information Sciences: an International Journal
On a class of fuzzy c-numbers clustering procedures for fuzzy data
Fuzzy Sets and Systems
On the variance of fuzzy random variables
Fuzzy Sets and Systems
The l&ar; -mean squared dispersion associated with a fuzzy random variable
Fuzzy Sets and Systems
A fuzzy-based methodology for the analysis of diabetic neuropathy
Fuzzy Sets and Systems - Data bases and approximate reasoning
Limit distributions of least squares estimators in linear regression models with vague concepts
Journal of Multivariate Analysis
Testing linear independence in linear models with interval-valued data
Computational Statistics & Data Analysis
A Heuristic Approach to Learning Rules from Fuzzy Databases
IEEE Intelligent Systems
Management of uncertainty in Statistical Reasoning: The case of Regression Analysis
International Journal of Approximate Reasoning
Soft Methods for Handling Variability and Imprecision
Soft Methods for Handling Variability and Imprecision
Estimation of a simple linear regression model for fuzzy random variables
Fuzzy Sets and Systems
Multi-sample test-based clustering for fuzzy random variables
International Journal of Approximate Reasoning
An enhanced fuzzy linear regression model with more flexible spreads
Fuzzy Sets and Systems
Regression with fuzzy random data
Computational Statistics & Data Analysis
Least squares estimation of a linear regression model with LR fuzzy response
Computational Statistics & Data Analysis
Nonparametric rank-based statistics and significance tests for fuzzy data
Fuzzy Sets and Systems
Consumer behavior fuzziness in the new market environments
NNECFSIC'12 Proceedings of the 12th WSEAS international conference on Neural networks, fuzzy systems, evolutionary computing & automation
A Midpoint--Radius approach to regression with interval data
International Journal of Approximate Reasoning
Likelihood-based Imprecise Regression
International Journal of Approximate Reasoning
Information Sciences: an International Journal
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A linear regression model with imprecise response and p real explanatory variables is analyzed. The imprecision of the response variable is functionally described by means of certain kinds of fuzzy sets, the LR fuzzy sets. The LR fuzzy random variables are introduced to model usual random experiments when the characteristic observed on each result can be described with fuzzy numbers of a particular class, determined by 3 random values: the center, the left spread and the right spread. In fact, these constitute a natural generalization of the interval data. To deal with the estimation problem the space of the LR fuzzy numbers is proved to be isometric to a closed and convex cone of R^3 with respect to a generalization of the most used metric for LR fuzzy numbers. The expression of the estimators in terms of moments is established, their limit distribution and asymptotic properties are analyzed and applied to the determination of confidence regions and hypothesis testing procedures. The results are illustrated by means of some case-studies.