Article ID Journal Published Year Pages File Type
416802 Computational Statistics & Data Analysis 2006 15 Pages PDF
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
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