Title:	Nonlinear modeling with sandwich estimator approach to analyze soil carbon profile.
Authors:	BIASE, A. G. AZEVEDO, I. F. S. CHAVES, S. S. de F. MELO, M. N. DIAS, C. T. dos S. MARTORANO, L. G. CAMARGO, P. B. de SILVA, A. R. REICHARDT, K.
Affiliation:	Adriele 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.
Date Issued:	2016
Citation:	In: INTERNATIONAL SYMPOSIUM ON GREENHOUSE GASES IN AGRICULTURE, 2., 2016, Campo Grande, MS. Proceedings... Brasília, DF: Embrapa, 2016.
Pages:	p. 116-120.
Description:	This 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.
Thesagro:	Carbono Solo
Keywords:	Modelagem
Series/Report no.:	(Embrapa Gado de Corte. Documentos, 216).
Notes:	Coordenador Roberto Giolo de Almeida. II SIGEE.
Type of Material:	Artigo em anais e proceedings
Access:	openAccess
Appears in Collections:	Artigo em anais de congresso (CPATU)