DINIZ, C. A. R.

MAIA, A. de H. N.

PARAÍBA, C. C. M.

RODRIGUES, L. N.

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Apresentação 7TítuloTruncated Normal Nonlinear Regression Models for Soil-water Characteristic Curves.AutoresCarolina Costa Mota Paraíba, Carlos Alberto Ribeiro Diniz, Aline de Holanda NunesMaia, Lineu Neiva Rodrigues.ResumoIn the present paper, we propose an alternative approach for estimating soil-watercharacteristic curves based on truncated normal nonlinear regression models.Maximum likelihood estimator of the curve parameters are obtained by directmaximization of the likelihood function. Simulation studies are provided to assess thequality of estimates for the proposed regression model and diagnostic analysis areconsidered to check for model adequacy. We also provide a comparison study, basedon simulation results, between the proposed methodology and the usual nonlinear leastsquares procedure. A real data set is analyzed using the proposed methodology.SESSÃO ORAL 3Local: Sala Camburí16:30 -16:50Truncated Normal Nonlinear Regression Models for Soil-water CharacteristicCurvesCarolina Costa Mota Paraíba, Carlos Alberto Ribeiro Diniz, Aline de HolandaNunes Maia, Lineu Neiva Rodrigues16:50 -17:10Modeling the Latent Covariate in the Linear Regression Model with MeasurementError Using Finite Mixtures of Skew-Student t DistributionsCelso Rômulo Barbosa Cabral, Víctor Hugo Lachos, Camila Borelli Zeller17:10 -17:30Modelo de Resposta ao Item com Controle da Heterogeneidade Atribuída aFatores ConhecidosRômulo Andrade da Silva, Afrânio Márcio Corrêa Vieira14

Truncated normal nonlinear regression models for soil-water characteristic curves.

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