Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
416802 | Computational Statistics & Data Analysis | 2006 | 15 Pages |
Abstract
Statistical data are frequently not precise numbers but more or less non-precise, also called fuzzy. Measurements of continuous variables are always fuzzy to a certain degree. Therefore histograms and generalized classical statistical inference methods for univariate fuzzy data have to be considered. Moreover Bayesian inference methods in the situation of fuzzy a priori information and fuzzy data are discussed.
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Reinhard Viertl,