Nonlinear modeling with sandwich estimator approach to analyze soil carbon profile.

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dc.contributorAdriele Giaretta BIASE, ESALQ; Iábita Fabiana Souza AZEVEDO, ESALQ; Siglea Sanna de Freitas CHAVES, ESALQ; Marcello Neiva MELO, UFRA; Carlos Tadeu dos Santos DIAS, ESALQ; LUCIETA GUERREIRO MARTORANO, CPATU; Plínio Barbosa de CAMARGO, ESALQ; ARYSTIDES RESENDE SILVA, CPATU; Klaus REICHARDT, ESALQ.
dc.creatorBIASE, A. G.
dc.creatorAZEVEDO, I. F. S.
dc.creatorCHAVES, S. S. de F.
dc.creatorMELO, M. N.
dc.creatorDIAS, C. T. dos S.
dc.creatorMARTORANO, L. G.
dc.creatorCAMARGO, P. B. de
dc.creatorSILVA, A. R.
dc.creatorREICHARDT, K.
dc.date2016-11-24T11:11:11Z
dc.date2016-11-24T11:11:11Z
dc.date2016-11-24
dc.date2016
dc.date2016-12-05T11:11:11Z
dc.date.accessioned2026-06-30T23:43:38Z
dc.descriptionThis study aimed to i) apply the basis of the nonlinear models theory with least squares method using sandwich estimators to a dataset formed by the C content along the soil profile in the Crop-Livestock-Forest Integration system (ILPF); ii) use bootstrap resampling to enhance the precision of the estimates and carbon dynamics along the soil profile.
dc.descriptionCoordenador Roberto Giolo de Almeida. II SIGEE.
dc.formatp. 116-120.
dc.identifierIn: INTERNATIONAL SYMPOSIUM ON GREENHOUSE GASES IN AGRICULTURE, 2., 2016, Campo Grande, MS. Proceedings... Brasília, DF: Embrapa, 2016.
dc.identifierhttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1057111
dc.identifier.urihttp://hdl.handle.net/123456789/388897
dc.languageeng
dc.relation(Embrapa Gado de Corte. Documentos, 216).
dc.rightsopenAccess
dc.subjectModelagem
dc.subjectCarbono
dc.subjectSolo
dc.titleNonlinear modeling with sandwich estimator approach to analyze soil carbon profile.
dc.typeArtigo em anais e proceedings

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Embrapa Amazonía Oriental (CPATU)