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The single principle of compositional data analysis, continuing fallacies, confusionsand misunderstandings and some suggested remedies
Aitchison, John
Daunis i Estadella, Josep; Martín Fernández, Josep Antoni; Universitat de Girona. Departament d'Informàtica i Matemàtica Aplicada
In any discipline, where uncertainty and variability are present, it is important to haveprinciples which are accepted as inviolate and which should therefore drive statisticalmodelling, statistical analysis of data and any inferences from such an analysis.Despite the fact that two such principles have existed over the last two decades andfrom these a sensible, meaningful methodology has been developed for the statisticalanalysis of compositional data, the application of inappropriate and/or meaninglessmethods persists in many areas of application. This paper identifies at least tencommon fallacies and confusions in compositional data analysis with illustrativeexamples and provides readers with necessary, and hopefully sufficient, arguments topersuade the culprits why and how they should amend their ways
Geologische Vereinigung; Institut d’Estadística de Catalunya; International Association for Mathematical Geology; Càtedra Lluís Santaló d’Aplicacions de la Matemàtica; Generalitat de Catalunya, Departament d’Innovació, Universitats i Recerca; Ministerio de Educación y Ciencia; Ingenio 2010.
Anàlisi multivariable
Estadística matemàtica
Tots els drets reservats
info:eu-repo/semantics/conferenceObject
Universitat de Girona. Departament d’Informàtica i Matemàtica Aplicada
         

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