• DOI:10.1016/j.csda.2006.04.036
Corpus ID: 18872763

Least squares estimation of a linear regression model with LR fuzzy response

@article{Coppi2006LeastSE,
  title={Least squares estimation of a linear regression model with LR fuzzy response},
  author={R. Coppi and P. D'Urso and P. Giordani and Adriana Santoro},
  journal={Comput. Stat. Data Anal.},
  year={2006},
  volume={51},
  pages={267-286}
}

• R. Coppi, P. D'Urso, +1 author Adriana Santoro
• Published 2006
• Mathematics, Computer Science
• Comput. Stat. Data Anal.

The problem of regression analysis in a fuzzy setting is discussed. A general linear regression model for studying the dependence of a LR fuzzy response variable on a set of crisp explanatory variables, along with a suitable iterative least squares estimation procedure, is introduced. This model is then framed within a wider strategy of analysis, capable to manage various types of uncertainty. These include the imprecision of the regression coefficients and the choice of a specific parametric… Expand

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