Systems of possibilistic regressions: a case study in ecological inference.

Sergio Donoso; Nicolás Marín; M. Amparo Vila

Mathware and Soft Computing (2005)

  • Volume: 12, Issue: 2-3, page 169-184
  • ISSN: 1134-5632

Abstract

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This work introduces how possibilistic regression can be used in the case of non symmetrical triangular membership functions, building a system of regressions, so that suitable restrictions for each particular problem can be incorporated. We apply this methodology to the problem of ecological inference, in particular to the estimation of the electoral transition matrix. An experimentation with several examples shows the benefits of the new approach.

How to cite

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Donoso, Sergio, Marín, Nicolás, and Vila, M. Amparo. "Systems of possibilistic regressions: a case study in ecological inference.." Mathware and Soft Computing 12.2-3 (2005): 169-184. <http://eudml.org/doc/40866>.

@article{Donoso2005,
abstract = {This work introduces how possibilistic regression can be used in the case of non symmetrical triangular membership functions, building a system of regressions, so that suitable restrictions for each particular problem can be incorporated. We apply this methodology to the problem of ecological inference, in particular to the estimation of the electoral transition matrix. An experimentation with several examples shows the benefits of the new approach.},
author = {Donoso, Sergio, Marín, Nicolás, Vila, M. Amparo},
journal = {Mathware and Soft Computing},
keywords = {Regresión lineal; Lógica difusa; Inferencia estadística},
language = {eng},
number = {2-3},
pages = {169-184},
title = {Systems of possibilistic regressions: a case study in ecological inference.},
url = {http://eudml.org/doc/40866},
volume = {12},
year = {2005},
}

TY - JOUR
AU - Donoso, Sergio
AU - Marín, Nicolás
AU - Vila, M. Amparo
TI - Systems of possibilistic regressions: a case study in ecological inference.
JO - Mathware and Soft Computing
PY - 2005
VL - 12
IS - 2-3
SP - 169
EP - 184
AB - This work introduces how possibilistic regression can be used in the case of non symmetrical triangular membership functions, building a system of regressions, so that suitable restrictions for each particular problem can be incorporated. We apply this methodology to the problem of ecological inference, in particular to the estimation of the electoral transition matrix. An experimentation with several examples shows the benefits of the new approach.
LA - eng
KW - Regresión lineal; Lógica difusa; Inferencia estadística
UR - http://eudml.org/doc/40866
ER -

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