THE MINIMUM INACCURACY PRINCIPLE IN ESTIMATING POPULATION PARAMETERS FROM GROUPED DATA

DOI10.1108/eb005756zbMath0613.62038OpenAlexW1983999502MaRDI QIDQ4720551

Norberto Corral, María Ángeles Gil Álvarez

Publication date: 1987

Published in: Kybernetes (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1108/eb005756

zbMATH Keywords

maximum likelihood principlefuzzy informationminimum inaccuracy principle

Mathematics Subject Classification ID

Point estimation (62F10) Parametric inference (62F99)

Related Items (3)

A note on interval estimation with fuzzy data ⋮ The minimum inaccuracy estimates in \(\chi ^ 2\) tests for goodness of fit with fuzzy observations ⋮ An operative extension of the likelihood ratio test from fuzzy data

Cites Work

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• The fuzzy decision problem: An approach to the point estimation problem with fuzzy information
• An inaccuracy function of type \(\beta\)
• Fuzzy sets as a basis for a theory of possibility
• Exploring the interface between hierarchies, multiple objectives and fuzzy sets
• Probability measures of fuzzy events
• Measuring the Fuzziness of Sets
• The Use of Maximum Likelihood Estimates in $\chi^2$ Tests for Goodness of Fit

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