Univariate and multivariate symmetry: statistical inference and distributional aspects

Univariate and multivariate symmetry: statistical inference and distributional aspects

This thesis deals with several statistical and probabilistic aspects of symmetry and asymmetry, both in a univariate and multivariate context, and is divided into three distinct parts.<p><p>The first part, composed of Chapters 1, 2 and 3 of the thesis, solves two conjectures associated w...

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Bibliographic Details
Main Author: Ley, Christophe
Other Authors: Paindaveine, Davy
Format: Doctoral Thesis
Language:fr
Published: Universite Libre de Bruxelles 2010
Subjects:
Mathématiques
Sciences exactes et naturelles
Symmetry (Mathematics)
Multivariate analysis
Distribution (Probability theory)
Symétrie (Mathématiques)
Analyse multivariée
Distribution (Théorie des probabilités)
Méchanisme d'asymétrisation
Tests de symétrie
Matrice d'information de Fisher singulière
Le Cam optimalité
Distributions skew-symétriques
Distribution skew-normale
Skewness
Asymétrie
Skew-normal distribution
Skew-symmetric distributions
Tests for symmetry
Skewing mechanism
Le Cam optimality
Singular Fisher information matrix
Online Access:http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210029

Internet

http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210029

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