| |
|
|
| Registros recuperados : 1 | |
| Registros recuperados : 1 | |
|
|
|
Registro Completo
|
Biblioteca(s): |
Embrapa Unidades Centrais. |
|
Data corrente: |
10/02/2010 |
|
Data da última atualização: |
09/07/2010 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Circulação/Nível: |
Internacional - B |
|
Autoria: |
GOMES, E. G.; SOUZA, G. da S. e; VIVALDI, L. J. |
|
Afiliação: |
Eliane Gonçalves Gomes, Embrapa-SGE; GERALDO DA SILVA E SOUZA, Embrapa-SGE; Lúcio José Vivaldi, Universidade de Brasília. |
|
Título: |
Two-stage inference in experimental design using DEA: an application to intercropping and evidence from randomization theory. |
|
Ano de publicação: |
2008 |
|
Fonte/Imprenta: |
Pesquisa Operacional, v.28, n.2, p. 339-354, mai./ago. 2008. |
|
Idioma: |
Inglês |
|
Conteúdo: |
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. |
|
Palavras-Chave: |
Análise envoltória de dados; Consórcio; Data envelopment analysis; Ensaio experimental. |
|
Thesaurus NAL: |
experimental design; intercropping. |
|
Categoria do assunto: |
-- |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/17457/1/Two-stage-inference-in-experimental.pdf
|
|
Marc: |
LEADER 01562naa a2200217 a 4500
001 1657613
005 2010-07-09
008 2008 bl uuuu u00u1 u #d
100 1 $aGOMES, E. G.
245 $aTwo-stage inference in experimental design using DEA$ban application to intercropping and evidence from randomization theory.$h[electronic resource]
260 $c2008
520 $aIn 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.
650 $aexperimental design
650 $aintercropping
653 $aAnálise envoltória de dados
653 $aConsórcio
653 $aData envelopment analysis
653 $aEnsaio experimental
700 1 $aSOUZA, G. da S. e
700 1 $aVIVALDI, L. J.
773 $tPesquisa Operacional$gv.28, n.2, p. 339-354, mai./ago. 2008.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Unidades Centrais (AI-SEDE) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
