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Mostrando ítems 11-20 de 1751
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)
Bayesian Estimation for Performance Measures of Two Diagnostic Tests in the Presence of Verification Bias
(TAYLOR & FRANCIS INCNEW YORK, 2010)
Sensitivity and specificity are measures that allow us to evaluate the performance of a diagnostic test. In practice, it is common to have situations where a proportion of selected individuals cannot have the real state ...
Bayesian Regression in Pavement Deterioration Modeling: Revisiting the AASHO Road Test Rut Depth Model
(2012-11-30)
Traditional pavement deterioration modeling is normally based on historical condition data alone without incorporating the fundamental relationships between the causal factors and the response. Also, typical approaches do ...
Bayesian Regression in Pavement Deterioration Modeling: Revisiting the AASHO Road Test Rut Depth Model
(2012-11-30)
Traditional pavement deterioration modeling is normally based on historical condition data alone without incorporating the fundamental relationships between the causal factors and the response. Also, typical approaches do ...
Testes bayesianos em ensaios clínicos
(Universidade Federal de São CarlosUFSCarPrograma Interinstitucional de Pós-Graduação em Estatística - PIPGEsCâmpus São Carlos, 2022-02-22)
In this thesis, we propose two new Bayesian approaches for equivalence hypotheses testing for proportions and prove that these Bayesian hypotheses tests are equivalent. These Bayesian methodologies applied to equivalence ...
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 ...
Full Bayesian Analysis for a Model of Tail Dependence
(Taylor & Francis IncPhiladelphiaEUA, 2012)