The single principle of compositional data analysis, continuing fallacies, confusions and misunderstandings and some suggested remedies
Contribuinte(s) |
Daunis i Estadella, Josep Martín Fernández, Josep Antoni Universitat de Girona. Departament d'Informàtica i Matemàtica Aplicada |
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Data(s) |
27/05/2008
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Resumo |
In any discipline, where uncertainty and variability are present, it is important to have principles which are accepted as inviolate and which should therefore drive statistical modelling, 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 and from these a sensible, meaningful methodology has been developed for the statistical analysis of compositional data, the application of inappropriate and/or meaningless methods persists in many areas of application. This paper identifies at least ten common fallacies and confusions in compositional data analysis with illustrative examples and provides readers with necessary, and hopefully sufficient, arguments to persuade 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. |
Formato |
application/pdf |
Identificador |
Aitchison, J. 'The single principle of compositional data analysis, continuing fallacies, confusions and misunderstandings and some suggested remedies' a CODAWORK’08. Girona: La Universitat, 2008 [consulta: 12 maig 2008]. Necessita Adobe Acrobat. Disponible a Internet a: http://hdl.handle.net/10256/706 |
Idioma(s) |
eng |
Publicador |
Universitat de Girona. Departament d’Informàtica i Matemàtica Aplicada |
Direitos |
Tots els drets reservats |
Palavras-Chave | #Anàlisi multivariable #Estadística matemàtica |
Tipo |
info:eu-repo/semantics/conferenceObject |