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Genetic parameters for growth traits of mediterranean buffaloes from BRazil, estimated by Bayesian inference
(2013-12-01)
Quantitative analysis of growth genetic parameters is not available for many breeds of buffaloes making selection and breeding decisions an empirical process that lacks robustness. The objective of this study was to estimate ...
Inverse analysis with integral transformed temperature fields: Identification of thermophysical properties in heterogeneous media
(ElsevierBrasilNúcleo Interdisciplinar de Dinâmica dos Fluidos, 2019)
Assessing the accuracy and robustness of a process-based model for coffee agroforestry systems in Central America
(Springer, Nueva York (Estados Unidos), 2020)
Coffee is often grown in production systems associated with shade trees that provide different ecosystem services. Management, weather and soil conditions are spatially variable production factors. CAF2007 is a dynamic ...
Genetic Parameters for Growth Traits of Mediterranean Buffaloes from Brazil, Estimated By Bayesian Inference
(Int Buffalo Information Ctr, 2014)
Orbits for eighteen visual binaries and two double-line spectroscopic binaries observed with hrcam on the CTIO SOAR 4m telescope, using a new bayesian orbit code based on markov chain Monte Carlo
(IOP Publishing Ltd., 2017)
We present orbital elements and mass sums for 18 visual binary stars of spectral types B to K (five of which are new orbits) with periods ranging from 20 to more than 500 yr. For two double-line spectroscopic binaries with ...
A Bayesian framework for object recognition under severe occlusion
(Universidade Federal de PernambucoUFPEBrasilPrograma de Pos Graduacao em Ciencia da Computacao, 2018)
Métodos para la selección de distribuciones a priori utilizando el estimador de James-Stein, planes de muestreo por atributo y modelos logísticos multinivel
(Medellín - Ciencias - Doctorado en Ciencias - EstadísticaEscuela de estadísticaUniversidad Nacional de Colombia - Sede Medellín, 2020-06-23)
Las distribuciones a priori son indispensables en estadística bayesiana para hacer inferencia, porque reflejan el conocimiento previo de un parámetro desconocido; estas distribuciones han sido utilizadas en diferentes áreas ...