Robust inference in probability under vague information.

Giuliana Regoli

Mathware and Soft Computing (1996)

  • Volume: 3, Issue: 1-2, page 173-182
  • ISSN: 1134-5632

Abstract

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Vague information can be represented as comparison of previsions or comparison of probabilities, and a robust analysis can be done, in order to make inference about some quantity of interest and to measure the imprecision of the answers. In particular, in some decision problems the answer can be unique.

How to cite

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Regoli, Giuliana. "Robust inference in probability under vague information.." Mathware and Soft Computing 3.1-2 (1996): 173-182. <http://eudml.org/doc/39070>.

@article{Regoli1996,
abstract = {Vague information can be represented as comparison of previsions or comparison of probabilities, and a robust analysis can be done, in order to make inference about some quantity of interest and to measure the imprecision of the answers. In particular, in some decision problems the answer can be unique.},
author = {Regoli, Giuliana},
journal = {Mathware and Soft Computing},
keywords = {Estimadores robustos; Distribución de probabilidad; Procesos de decisión; Análisis comparativo; Incertidumbre; Predicción},
language = {eng},
number = {1-2},
pages = {173-182},
title = {Robust inference in probability under vague information.},
url = {http://eudml.org/doc/39070},
volume = {3},
year = {1996},
}

TY - JOUR
AU - Regoli, Giuliana
TI - Robust inference in probability under vague information.
JO - Mathware and Soft Computing
PY - 1996
VL - 3
IS - 1-2
SP - 173
EP - 182
AB - Vague information can be represented as comparison of previsions or comparison of probabilities, and a robust analysis can be done, in order to make inference about some quantity of interest and to measure the imprecision of the answers. In particular, in some decision problems the answer can be unique.
LA - eng
KW - Estimadores robustos; Distribución de probabilidad; Procesos de decisión; Análisis comparativo; Incertidumbre; Predicción
UR - http://eudml.org/doc/39070
ER -

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