Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/33305
Title: Utilização do método bayesiano na descrição da cinética de secagem da polpa de jabuticaba por modelos de regressão não linear
Other Titles: Use of the bayesian method in the description of drying kinetics of jabuticaba pulp by non-linear regression models
Authors: Muniz, Joel Augusto
Morais, Augusto Ramalho de
Amorim, Isabel de Sousa
Silveira, Sílvio de Castro
Silva, Alessandra Querino da
Keywords: Regressão não linear
Secagem de alimentos
Modelos estatísticos
Inferência Bayesiana
Nonlinear regression
Drying food
Statistics models
Bayesian inference
Issue Date: 28-Mar-2019
Publisher: Universidade Federal de Lavras
Citation: FURTADO, T. D. R. Utilização do método bayesiano na descrição da cinética de secagem da polpa de jabuticaba por modelos de regressão não linear. 2019. 123 p. Tese (Doutorado em Estatística e Experimentação Agropecuária)–Universidade Federal de Lavras, Lavras, 2019.
Abstract: Jabuticaba is a native tree from to the Atlantic Forest in Southern Brazil, and its fruit is widely consumed in the fresh form, but it is highly perishable, requiring conservation techniques. The drying process is very convenient, as well as reduces post-harvest losses, adding value to the final product. The aim of this study was to describe the drying kinetics of Jabuticaba pulp at temperatures of 50 and 60°C. By using nonlinear regression models wich where evaluated regarding to the structure of autoregressive dependence erros of first order, using the methods of Bayesian Inference with informative and non-informative priors and getting the complete conditional posterior densities of paramethers. We evaluated the models: Henderson and Pabis (HP), Simple Three-Parameter Exponential (ESTP), Lewis (L), Diffusion Approach (AD), Two Terms (DT), Page (P) and Midilli (M), finding the diagnosis of convergence, point estimates of mean and fashion and intervals (HPD), as well as selection criteria through software R. The M, ESTP and AD models, presented at least one problem regarding to the convergence, validity of the assumptions of the regression models and/or suitability of the fit the data. The models L, HP and DT with structure of first order errors were adequate to describe the data of Jabuticaba pulp on both temperatures; the HP was more indicated at 50 °C and DT at 60 °C. In 50 °C the drying rate was 0.0078g water/min ranging from 0.0046 to 0.0122 g water/min in the process and at 60°C the drying rate was observed in a first stage of 0.0143 g of water/min, changing between 0.0132 and 0.0155 g of water/min, in the second stage the rate was 0.0689 g of water/min ranging from 0.0690 to 0.0710 g of water/min. With the drying temperature increase there was a decrease of about 50% in the drying period.
URI: http://repositorio.ufla.br/jspui/handle/1/33305
Appears in Collections:Estatística e Experimentação Agropecuária - Doutorado (Teses)



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