Skew correlation, also known as asymmetric correlation or tail dependence, refers to the relationship between two variables that is not symmetrical. When one variable increases, it does not necessarily mean that the other variable increases in the same way. Some synonyms for skew correlation include non-linear correlation, non-parametric correlation, and rank correlation. Non-linear correlation refers to a relationship between two variables that is not linear but follows a more complex pattern. Non-parametric correlation is a statistical measure of the strength of the relationship between two variables that does not assume any particular relationship. Rank correlation is a way of measuring the extent to which the order of observations of one variable matches the order of observations of another variable.