The non isotropic noncentral elliptical shape distributions via
pseudo-Wishart distribution are founded. This way, the classical shape theory
is extended to non isotropic case and the normality assumption is replaced by
assuming a elliptical distribution. In several cases, the new shape
distributions are easily computable and then the inference procedure can be
studied under exact densities. An application in Biology is studied under the
classical gaussian approach and two non gaussian models.
Description
Generalised shape theory via pseudo-Wishart distribution
%0 Generic
%1 diazgarcia2010generalised
%A Díaz-García, José A.
%A Caro-Lopera, Francisco J.
%D 2010
%K multivariate wishart
%T Generalised shape theory via pseudo-Wishart distribution
%U http://arxiv.org/abs/1009.3168
%X The non isotropic noncentral elliptical shape distributions via
pseudo-Wishart distribution are founded. This way, the classical shape theory
is extended to non isotropic case and the normality assumption is replaced by
assuming a elliptical distribution. In several cases, the new shape
distributions are easily computable and then the inference procedure can be
studied under exact densities. An application in Biology is studied under the
classical gaussian approach and two non gaussian models.
@misc{diazgarcia2010generalised,
abstract = {The non isotropic noncentral elliptical shape distributions via
pseudo-Wishart distribution are founded. This way, the classical shape theory
is extended to non isotropic case and the normality assumption is replaced by
assuming a elliptical distribution. In several cases, the new shape
distributions are easily computable and then the inference procedure can be
studied under exact densities. An application in Biology is studied under the
classical gaussian approach and two non gaussian models.},
added-at = {2018-03-20T06:06:29.000+0100},
author = {Díaz-García, José A. and Caro-Lopera, Francisco J.},
biburl = {https://www.bibsonomy.org/bibtex/29e74591e512ff3dcc889368cb4fe0eed/shabbychef},
description = {Generalised shape theory via pseudo-Wishart distribution},
interhash = {122104ff77f7f426c7d3848dd9ddb766},
intrahash = {9e74591e512ff3dcc889368cb4fe0eed},
keywords = {multivariate wishart},
note = {cite arxiv:1009.3168Comment: 18 pages, 8 figures},
timestamp = {2018-03-20T06:06:29.000+0100},
title = {Generalised shape theory via pseudo-Wishart distribution},
url = {http://arxiv.org/abs/1009.3168},
year = 2010
}