Two-stage inference in experimental design using DEA: an application to intercropping and evidence from randomization theory.

GOMES, E. G.; SOUZA, G. da S. e; VIVALDI, L. J.

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Campo DC	Valor	Lengua/Idioma
dc.contributor.author	GOMES, E. G.	pt_BR
dc.contributor.author	SOUZA, G. da S. e	pt_BR
dc.contributor.author	VIVALDI, L. J.	pt_BR
dc.date.accessioned	2011-04-09T12:48:28Z	-
dc.date.available	2011-04-09T12:48:28Z	-
dc.date.created	2010-02-10	pt_BR
dc.date.issued	2008	pt_BR
dc.identifier.citation	Pesquisa Operacional, v.28, n.2, p. 339-354, mai./ago. 2008.	pt_BR
dc.identifier.uri	http://www.alice.cnptia.embrapa.br/alice/handle/doc/657613	pt_BR
dc.description	In this article we propose the use of Data Envelopment Analysis (DEA) measures of efficiency, under constant returns to scale and input equal to unity, in the analysis of multidimensional nonnegative responses in the design of experiments. The approach agrees with the standard Analysis of Variance (Covariance) for univariate responses and simplifies the statistical analysis in the multivariate case. The best treatments provided by the analysis optimize a combined output defined by shadow prices, which are the solutions of the DEA problem. The approach is particularly useful for the analysis of intercropping (crop mixtures) experiments. In this context we discuss two examples. To properly address the issue of correlation and non-normality of DEA measurements in different experimental plots we validate the results via Randomization Theory.	pt_BR
dc.language.iso	eng	eng
dc.rights	openAccess	eng
dc.subject	Ensaio experimental	pt_BR
dc.subject	Consórcio	pt_BR
dc.subject	Análise envoltória de dados	pt_BR
dc.subject	Data envelopment analysis	pt_BR
dc.title	Two-stage inference in experimental design using DEA: an application to intercropping and evidence from randomization theory.	pt_BR
dc.type	Artigo de periódico	pt_BR
dc.date.updated	2011-04-10T11:11:11Z	pt_BR
dc.subject.nalthesaurus	experimental design	pt_BR
dc.subject.nalthesaurus	intercropping	pt_BR
riaa.ainfo.id	657613	pt_BR
riaa.ainfo.lastupdate	2010-07-09	pt_BR
dc.contributor.institution	Eliane Gonçalves Gomes, Embrapa-SGE; GERALDO DA SILVA E SOUZA, Embrapa-SGE; Lúcio José Vivaldi, Universidade de Brasília.	pt_BR
Aparece en las colecciones:	Artigo em periódico indexado / Embrapa Unidades Centrais (AI-SEDE)

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