Categorical variables can also be measured using an ordinal scale, which means that the levels of the variable are ordered ... This process is analogous to performing an analysis of variance on ...

Dealing with categorical data is an essential part of data preprocessing in many machine learning tasks. Fortunately, encoding categorical data efficiently helps enhance the performance of machine ...

The LOGISTIC, GENMOD, PROBIT, and CATMOD procedures can all be used for statistical modeling of categorical data. The CATMOD procedure provides maximum likelihood ... For dichotomous outcomes, it ...