Fuzzy statistics and random variables represent a progressive fusion of traditional probability theory with the principles of fuzzy logic, enabling the treatment of imprecision and vagueness ...

This refers to any bias in a predictive model which is the result of the omission of variables that are relevant to the outcome. The omission of a relevant variable can, among other things, lead ...

Statistics: When Confounding Variables Are Out of Control Explore the intriguing link between ice cream and drownings. Does ice cream cause drownings or is it just a statistical correlation?

Dichotomizing a continuous outcome variable casts that variable in traditional epidemiologic terms (that is, disease, no disease). One consequence is overall reduced statistical power. A more ...

You don't need a crystal ball to tell you what is going to happen next in the economy. You need a statistical model. A new method can help researchers determine which economic variables they ...

This paper addresses the prevailing difficulties in setting up an adequate diesel spray simulation which arise from the mentioned multivariable interactions of these “tuning constants”, by applying a ...