USO DE ANÁLISE ESTATÍSTICA MULTIVARIADA PARA TIPIFICAÇÃO DE PRODUTORES DE LEITE DE MINAS GERAIS

Armando Chinelatto Neto, Gilmar Pinheiro Cunha Castro and Joao Eustaquio de Lima

Organizações Rurais e Agroindustriais/Rural and Agro-Industrial Organizations, 2005, vol. 07, issue 01, 8

Abstract: The present work had as its main objective to identify and characterize milk production systems through methods of multivaried statistical analysis. Factorial analysis, cluster, discriminant and canonical correlation were utilized. The production gradation and defrayal were the main classification criterium among the productors. Combining the results obtained with the cluster analysis and the canonical correlation analysis, the second classification analysis aggregates the grazing lands and the care with the flock health. Three productors groups were identified, among which the first one is prominent for aggregating about 90% of the total analyzed and is composed by relatively smaller productors. The discriminant analysis and the measuring among financial indicators confirm such classification.

Keywords: Livestock Production/Industries; Research Methods/Statistical Methods (search for similar items in EconPapers)
Date: 2005
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Persistent link: https://EconPapers.repec.org/RePEc:ags:orarao:44039

DOI: 10.22004/ag.econ.44039

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