The minimum inaccuracy estimates in χ2 tests for goodness of fit with fuzzy observations
- 1 January 1988
- journal article
- research article
- Published by Elsevier in Journal of Statistical Planning and Inference
- Vol. 19 (1) , 95-115
- https://doi.org/10.1016/0378-3758(88)90055-9
Abstract
No abstract availableKeywords
This publication has 10 references indexed in Scilit:
- THE MINIMUM INACCURACY PRINCIPLE IN ESTIMATING POPULATION PARAMETERS FROM GROUPED DATAKybernetes, 1987
- The fuzzy decision problem: An approach to the problem of testing statistical hypotheses with fuzzy informationEuropean Journal of Operational Research, 1986
- On the use of zadeh's probabilistic definition for testing statistical hypotheses from fuzzy informationFuzzy Sets and Systems, 1986
- The fuzzy decision problem: An approach to the point estimation problem with fuzzy informationEuropean Journal of Operational Research, 1985
- Fuzzy sets as a basis for a theory of possibilityFuzzy Sets and Systems, 1978
- An inaccuracy function of type βAnnals of the Institute of Statistical Mathematics, 1973
- Probability measures of Fuzzy eventsJournal of Mathematical Analysis and Applications, 1968
- Fuzzy setsInformation and Control, 1965
- Inaccuracy and InferenceJournal of the Royal Statistical Society Series B: Statistical Methodology, 1961
- The Use of Maximum Likelihood Estimates in $\chi^2$ Tests for Goodness of FitThe Annals of Mathematical Statistics, 1954