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

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Author(s): 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.

Summary: 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.

Publication year: 2016

Types of publication: Paper in annals and proceedings

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