학술논문

An asymmetry coefficient for random variables based on fuzzification
Document Type
Conference
Source
2007 IEEE International Fuzzy Systems Conference Fuzzy Systems Conference, 2007. FUZZ-IEEE 2007. IEEE International. :1-5 Jun, 2007
Subject
Computing and Processing
Random variables
Fuzzy sets
Gas insulated transmission lines
Testing
Fuzzy control
Statistical distributions
State estimation
Analytical models
Arithmetic
Gold
Language
ISSN
1098-7584
Abstract
In this paper we consider a new asymmetry coefficient for random variables. This measure of skewness is based on a fuzzy representation of real-valued random variables which characterize the distribution of the original random variable through the expected value of the `fuzzified' one. This representation has been recently introduced by the authors in a statistical inferential context. On the basis of a simple random sample from a random variable, a point estimator of the skewness of the variable is presented, and some relevant properties of this estimator are studied.