Bayes Estimate
Mostrando 1-12 de 14 artigos, teses e dissertações.
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1. Genetic evaluation models for post-weaning weight gain in a multibreed Angus-Nelore population
Resumo: O objetivo deste trabalho foi identificar o modelo mais adequado para avaliação genética do ganho de peso pós-desmama em uma população multirracial de Angus-Nelore. Foram testados três modelos com uso do método de inferência bayesiana: animal tradicional (M1), animal multirracial sem (M2) e com segregação (M3). A escolha do melhor modelo s
Pesq. agropec. bras.. Publicado em: 29/08/2019
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2. Bayesian analysis of growth, stem straightness and branching quality in full-sib families of Eucalyptus globulus
ABSTRACT Eucalyptus globulus is one of the most commonly planted hardwood species for industrial use in various temperate regions around the world. The present study aimed to evaluate 62 full-sib families of E. globulus in one of the southernmost progeny trials of the species in the south of Chile. Estimates of genetic parameters for stem straightness, branc
Bragantia. Publicado em: 08/08/2019
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3. Bayesian sequential procedure to estimate the viability of seeds Coffea arabica L. in tetrazolium test
ABSTRACT: Tetrazolium tests use conventional sampling techniques in which a sample has a fixed size. These tests may be improved by sequential sampling, which does not work with fixed-size samples. When data obtained from an experiment are analyzed sequentially the analysis can be terminated when a particular decision has been made, and thus, there is no nee
Sci. agric. (Piracicaba, Braz.). Publicado em: 2019-05
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4. Bayesian and maximum likelihood estimation of SIR stochastic models / Estimação bayesiana e por maxima verossimilhança de modelos SIR estocasticos
Compartmental models have been widely used in order to model epidemics. Several methods have been proposed in the literature to estimate the models, specially, the least squares method, maximum likelihood estimation and Bayes estimators based on Monte Carlo simulation. In the most of real cases, the data are only partially observable. The work considers the
Publicado em: 2009
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5. Uma abordagem bayesiana para mapeamento de QTLs em populações experimentais / A Bayesian approach for mapping QTL in experimental populations
Many traits in plants and animals have quantitative nature, influenced by multiple genes. With the new molecular techniques, it has been possible to map the loci, which control the quantitative traits, called QTL (Quantitative Trait Loci). Mapping a QTL means to identify its position in the genome, as well as to estimate its genetics effects. The great diffi
Publicado em: 2009
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6. Skew normal mixed models in microarray data generated from complex pedigrees / Modelos mistos normais assimÃtricos em dados de microarrays originados de pedigrees complexos / Modelos mistos normais assimÃtricos em dados de microarrays originados de pedigrees complexos / Skew normal mixed models in microarray data generated from complex pedigrees
Estimates of heritability for gene expression are scarce and commonly originated from family structures, in which the variability of responses among and within families are provided under a uniform covariance structure for related individuals, ignoring the known relationship among all individuals in the pedigree. Gauss-Markov normal mixed models are the usua
Publicado em: 2009
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7. Análise computacional da origem do subtipo C do HIV-1 na América do Sul / Computational analyses of the origin of subtype C of HIV-1 in South America
The main circulating HIV-1 subtype in South America is B, but C and F also are important and an increasing prevalence of subtype C in southern Brazil and its occurrence in other countries of Latin American has being described. The goal of this study was to analyze phylogenetically HIV-1C samples from South American countries to test the hypothesis that its e
Publicado em: 2008
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8. Modelo com erros de classificação para a proporção de não- disjunção cromossômica na meiose I
The main causes of numerical chromosomal anomalies, including trisomies, arise from an error in the chromosomal segregation during the meiotic process, named a non-disjuntion. One of the most used techniques to analyse chromosomal anomalies is the Polymerase Chain Reaction (PCR) followed by a quantitative analysis via laser densitometry, which counts the num
Publicado em: 2007
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9. Estimativas de máxima verosimilhança e bayesianas do número de erros de um software.
In this work we present the methodology of capture-recapture, under the classic and bayesian approach, to estimate the number of errors of software through inspection by distinct reviewers. We present the general statistical model considering independence among errors and among reviewers and consider the particular cases of equally detectable errors (homogen
Publicado em: 2006
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10. Estimação Bayesiana do tamanho de uma população de diabéticos através de listas de pacientes
Nesta dissertação apresentamos uma metodologia bayesiana para estimar o tamanho de uma população de diabéticos através de listas contendo informações sobre dados dos indivíduos. A metodologia aplicada é análoga a de captura-recaptura em população animal. Supomos corretos os registros de informações relativas aos pacientes assim como levamos em
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 25/02/2005
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11. PROBABILISTIC PORE PRESSURE PREDICTION IN RESERVOIR ROCKS THROUGH COMPRESSIONAL AND SHEAR VELOCITIES / PREVISÃO PROBABILÍSTICA DE PRESSÃO DE POROS EM ROCHAS RESERVATÓRIO ATRAVÉS DE VELOCIDADES COMPRESSIONAIS E CISALHANTES
This work proposes a method for pore pressure prediction in reservoir rocks through compressional- and shear-velocity data (seismic attributes). In the method, the attributes are considered observations of a physic system, which behavior depends on a several not-observable parameters, where the pore pressure is only one of these parameters. To estimate the p
Publicado em: 2005
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12. An empirical Bayes estimation problem
Let x be a random variable such that, given θ, x is Poisson with mean θ, while θ has an unknown prior distribution G. In many statistical problems one wants to estimate as accurately as possible the parameter E(θǀx = a) for some given a = 0,1,.... If one assumes that G is a Gamma prior with unknown parameters α and β, then the problem is straightforwa