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Learning rate updating methods applied to adaptive fuzzy equalizers for broadband power line communications
(Hindawi Publishing CorporationSylvaniaEUA, 2004)
A general Bayesian estimation method of linear-bilinear models applied to plant breeding trials with genotype × environment interaction
(Springer VerlagAmerican Statistical AssociationInternational Biometrics Society, 2013)
A Case for Robust Bayesian Priors with applications to Clinical Trials
(Bayesian Analysis, 2012)
O corte do FBST em modelos de alta dimensionalidade
(Universidade Federal de São CarlosUFSCarPrograma Interinstitucional de Pós-Graduação em Estatística - PIPGEsCâmpus São Carlos, 2018-12-03)
The problem of controlling the significance level of the FBST (Full Bayesian Significant Test) test
is studied in the context of Bayesian models for density, thus, a Bayesian method is shown that
works with density ...
A bayesian nonparametric approach for the two-sample problem
(Universidade Federal de São CarlosUFSCarPrograma Interinstitucional de Pós-Graduação em Estatística - PIPGEsCâmpus São Carlos, 2018-11-19)
In this work, we discuss the so-called two-sample problem (PEARSON; NEYMAN, 1930)
assuming a nonparametric Bayesian approach. Considering X 1 ,...,X n and Y 1 ,...,Y m two inde-
pendent i.i.d samples generated from P 1 ...
Uma análise bayesiana para dados composicionais.
(Universidade Federal de São CarlosBRUFSCarPrograma de Pós-Graduação em Estatística - PPGEs, 2005-03-03)
Compositional data are given by vectors of positive numbers with sum equals to one.
These kinds of data are common in many applications, as in geology, biology, economy
among many others. In this paper, we introduce a ...
Quality of the academic research of a postgraduate degree in surgery from a public university in Ecuador
(2022)
Introduction: The lack of solidity of educational research (ER) in a high percentage and the loss of integrity in the methodology have been reported. The objective of the present study was to determine the quality of the ...
Parameter recovery for a skew-normal IRT model under a Bayesian approach: hierarchical framework, prior and kernel sensitivity and sample size
(TAYLOR & FRANCIS LTDABINGDON, 2012)
Item response theory (IRT) comprises a set of statistical models which are useful in many fields, especially when there is an interest in studying latent variables (or latent traits). Usually such latent traits are assumed ...
Bayesian inference for the fitting of dry matter accumulation curves in garlic plants
(Pesquisa Agropecuária Brasileira, 2017)