Comparison of Normal, Logistic, Laplace, and Student’s t distributions for experimental error in the Bayesian description of dry matter accumulation in Allium sativum

Comparison of Normal, Logistic, Laplace, and Student’s t distributions for experimental error in the Bayesian description of dry matter accumulation in Allium sativum

ABSTRACT: This study assessed distributions associated with Bayesian nonlinear modeling error in the description of total plant dry matteraccumulation (TDMA) of Allium sativumas a function of days after planting (DAP). According to the DIC criterion, Logistic and Gompertzmodels that use student’s t...

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Bibliographic Details
Main Authors: George Lucas Santana de Moura, Felipe Guzzo, Paulo Roberto Cecon, Sebastião Martins Filho, Antônio Policarpo Souza Carneiro, Moysés Nascimento
Format: Article
Language:English
Published: Universidade Federal de Santa Maria 2024-03-01
Series:Ciência Rural
Subjects:
Bayesian regression
Nonlinear regression
MCMC
Symmetrical location-scale family
Empirical Bayes
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782024000700204&tlng=en

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http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782024000700204&tlng=en

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