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Independence in Contingency Tables Using Simplicial Geometry

Frequently, contingency tables are generated in a multinomial sampling. Multinomial probabilities are then organized in a table assigning probabilities to each cell. A probability table can be viewed as an element in the simplex. The Aitchison geometry of the simplex identifies independent probability tables as a linear subspace. An important consequence is that, given a probability table, the nearest independent table is obtained by orthogonal projection onto the independent subspace. The nearest independent table is identified as that obtained by the product of geometric marginals, which do not coincide with the standard marginals, except in the independent case. The original probability table is decomposed into orthogonal tables, the independent and the interaction tables. The underlying model is log-linear, and a procedure to test independence of a contingency table, based on a multinomial simulation, is developed. Its performance is studied on an illustrative example

This research was supported by thegrant COST Action CRoNoS IC1408, the grant IGA PrF 2015 013 Mathematical Models of the Internal Grant Agency of the Palacky University in Olomouc and the Spanish Ministries of Science and Innovation and Economy and Competitivity under the projects CODA-RSS Ref. MTM2009-13272 and METRICS Ref. MTM2012-33236

Taylor and Francis

Director: Ministerio de Ciencia e Innovación (Espanya)
Ministerio de Economía y Competitividad (Espanya)
Autor: Egozcue, Juan José
Pawlowsky-Glahn, Vera
Templ, Matthias
Hron, Karel
Data: 17 setembre 2015
Resum: Frequently, contingency tables are generated in a multinomial sampling. Multinomial probabilities are then organized in a table assigning probabilities to each cell. A probability table can be viewed as an element in the simplex. The Aitchison geometry of the simplex identifies independent probability tables as a linear subspace. An important consequence is that, given a probability table, the nearest independent table is obtained by orthogonal projection onto the independent subspace. The nearest independent table is identified as that obtained by the product of geometric marginals, which do not coincide with the standard marginals, except in the independent case. The original probability table is decomposed into orthogonal tables, the independent and the interaction tables. The underlying model is log-linear, and a procedure to test independence of a contingency table, based on a multinomial simulation, is developed. Its performance is studied on an illustrative example
This research was supported by thegrant COST Action CRoNoS IC1408, the grant IGA PrF 2015 013 Mathematical Models of the Internal Grant Agency of the Palacky University in Olomouc and the Spanish Ministries of Science and Innovation and Economy and Competitivity under the projects CODA-RSS Ref. MTM2009-13272 and METRICS Ref. MTM2012-33236
Format: application/pdf
Accés al document: http://hdl.handle.net/10256/13740
Llenguatge: eng
Editor: Taylor and Francis
Col·lecció: info:eu-repo/semantics/altIdentifier/doi/10.1080/03610926.2013.824980
info:eu-repo/semantics/altIdentifier/issn/0361-0926
info:eu-repo/semantics/altIdentifier/eissn/1532-415X
info:eu-repo/grantAgreement/MICINN//MTM2009-13272/ES/Analisis Estadistico De Datos Composicionales Y Otros Datos Con Espacio Muestral Restringido/
info:eu-repo/grantAgreement/MINECO//MTM2012-33236/ES/METODOS ESTADISTICOS EN ESPACIOS RESTRINGIDOS/
Drets: Tots els drets reservats
Matèria: Anàlisi multivariable
Multivariate analysis
Euclides, Elements d’
Euclid’s Elements
Geometria plana
Geometry, Plane
Títol: Independence in Contingency Tables Using Simplicial Geometry
Tipus: info:eu-repo/semantics/article
Repositori: DUGiDocs

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