Generating ordinal data
Pier Alda Ferrari, Department of Economics Business and Statistics - Università di Milano
Alessandro Barbiero, Department of Economics Business and Statistics - Università di Milano
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Due to the increasing use of ordinal variables in different fields, new statistical methods for their analysis have been introduced, whose performances need to be investigated under different experimental conditions. Proper procedures to simulate from ordinal variables are then requested. The present paper deals with the simulation from multivariate ordinal random variables. A new proposal for generating samples from ordinal random variables with pre-specified correlation matrix and marginal distributions is presented. Its features are examined and a comparison to its main competitors is discussed. A software implementation by the R package is provided. Examples of application are also supplied.
Pier Alda Ferrari and Alessandro Barbiero,
"Generating ordinal data"
UNIMI - Research Papers in Economics, Business, and Statistics.
Statistics and Mathematics.
Working Paper 54.
Paper presented by Alessandro Barbiero.