The increasing use of ordinal variables in different fields has led to the introduction of new statistical methods for their analysis. The performance of these methods needs to be investigated under a number of experimental conditions. Procedures to simulate from ordinal variables are then required. In this article, we deal with simulation from multivariate ordinal random variables. We propose a new procedure for generating samples from ordinal random variables with a prespecified correlation matrix and marginal distributions. Its features are examined and compared with those of its main competitors. A software implementation in R is also provided along with examples of its application.
Simulating Ordinal Data / P.A. Ferrari, A. Barbiero. - In: MULTIVARIATE BEHAVIORAL RESEARCH. - ISSN 0027-3171. - 47:4(2012 Aug), pp. 566-589.
Simulating Ordinal Data
P.A. Ferrari
;A. BarbieroUltimo
2012
Abstract
The increasing use of ordinal variables in different fields has led to the introduction of new statistical methods for their analysis. The performance of these methods needs to be investigated under a number of experimental conditions. Procedures to simulate from ordinal variables are then required. In this article, we deal with simulation from multivariate ordinal random variables. We propose a new procedure for generating samples from ordinal random variables with a prespecified correlation matrix and marginal distributions. Its features are examined and compared with those of its main competitors. A software implementation in R is also provided along with examples of its application.File | Dimensione | Formato | |
---|---|---|---|
MBR MS#12007 revised.pdf
accesso riservato
Tipologia:
Publisher's version/PDF
Dimensione
931.91 kB
Formato
Adobe PDF
|
931.91 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.