The minimun inaccuracy fuzzy estimation: An extension of the maximum likelihood principle.

Norberto Corral; M.ª Angeles Gil

Stochastica (1984)

  • Volume: 8, Issue: 1, page 63-81
  • ISSN: 0210-7821

Abstract

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The present paper deals with the extension of the likelihood estimation to the situation where the experimentation does not provide exact information but rather vague information.The extension process tries to achieve three fundamental objectives: the new method must be an extension of the maximum likelihood method, it has to be very simple to apply and it must allow for an interesting interpretation.These objectives are achieved herein by using the following concepts: the fuzzy information (introduced by H. Tanaka et al.) and the inaccuracy (introduced by D. F. Kerridge).

How to cite

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Corral, Norberto, and Gil, M.ª Angeles. "The minimun inaccuracy fuzzy estimation: An extension of the maximum likelihood principle.." Stochastica 8.1 (1984): 63-81. <http://eudml.org/doc/38907>.

@article{Corral1984,
abstract = {The present paper deals with the extension of the likelihood estimation to the situation where the experimentation does not provide exact information but rather vague information.The extension process tries to achieve three fundamental objectives: the new method must be an extension of the maximum likelihood method, it has to be very simple to apply and it must allow for an interesting interpretation.These objectives are achieved herein by using the following concepts: the fuzzy information (introduced by H. Tanaka et al.) and the inaccuracy (introduced by D. F. Kerridge).},
author = {Corral, Norberto, Gil, M.ª Angeles},
journal = {Stochastica},
keywords = {Conjuntos difusos; Máxima verosimilitud; minimum inaccuracy fuzzy estimation; invariance properties; extension of the maximum likelihood method; fuzzy information},
language = {eng},
number = {1},
pages = {63-81},
title = {The minimun inaccuracy fuzzy estimation: An extension of the maximum likelihood principle.},
url = {http://eudml.org/doc/38907},
volume = {8},
year = {1984},
}

TY - JOUR
AU - Corral, Norberto
AU - Gil, M.ª Angeles
TI - The minimun inaccuracy fuzzy estimation: An extension of the maximum likelihood principle.
JO - Stochastica
PY - 1984
VL - 8
IS - 1
SP - 63
EP - 81
AB - The present paper deals with the extension of the likelihood estimation to the situation where the experimentation does not provide exact information but rather vague information.The extension process tries to achieve three fundamental objectives: the new method must be an extension of the maximum likelihood method, it has to be very simple to apply and it must allow for an interesting interpretation.These objectives are achieved herein by using the following concepts: the fuzzy information (introduced by H. Tanaka et al.) and the inaccuracy (introduced by D. F. Kerridge).
LA - eng
KW - Conjuntos difusos; Máxima verosimilitud; minimum inaccuracy fuzzy estimation; invariance properties; extension of the maximum likelihood method; fuzzy information
UR - http://eudml.org/doc/38907
ER -

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