Random variate generation from Multivariate Exponential Power distribution

digital

Article

Magazine

STATISTICA & APPLICAZIONI

Section

Open Access

Title

Random variate generation from Multivariate Exponential Power distribution

Author

Nadia Solaro

Publisher

Vita e Pensiero

Format

Article |

Pdf

Online from

09-2017

Issn

1824-6672 (print) | 2283-6659 (digital)

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Description Readers' comments

In this paper two procedures for random variate generation for the family of Multivariate Exponential Power (MEP) distributions are developed and then compared. By conveniently expressing MEP distributions in terms of mixture of random variables, a simple and fast procedure based on transformation approach is proposed. Another procedure, based on a general acceptance-rejection (AR) technique for multivariate orthounimodal densities, is considered. As expected, the transformation-based procedure is considerably less time-consuming than the other one. Furthermore, this study allows us to evaluate to which extent generalizations of AR methods could be computationally less efficient than a transformation one for the type of multivariate distributions considered.

Keywords: acceptance-rejection method, multivariate elliptical and symmetric distributions, multivariate orthounimodal distributions, transformation method.

Author biography

Nadia Solaro, Dipartimento di Statistica – Università degli Studi di Milano Bicocca – via Bicocca degli Arcimboldi, 8, 20126 MILANO (e-mail: nadia.solaro@unimib.it).

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