Resumen de On Discrete Multivariate Distributions Symmetric in Frequencies.
A. Conde, Antonio José Sáez Castillo, Julio Rodríguez Puerta 
, María José Olmo Jiménez
In this paper we describe a new class of discrete multivariate distributions which verify that their probability mass function is invariant when their univariate variables are permuted. These distributions may be generated by a multivariate extension of the Gauss function 2F1 with matrix argument. A methodology that permits the fit of these distributions to real data is developed. A fit of a distribution for bivariate real data is shown and is compared with fits obtained by means of other usual bivariate distributions generated by extensions of the Gauss function.
