Asymptotic Theory Statistical Inference
Mostrando 1-4 de 4 artigos, teses e dissertações.
-
1. Combinação de modelos de campos aleatórios markovianos para classificação contextual de imagens multiespectrais / Combining markov random field models for multispectral image contextual classification
This work presents a novel MAP-MRF approach for multispectral image contextual classification by combining higher-order Markov Random Field models. The statistical modeling follows the Bayesian paradigm, with the definition of a multispectral Gaussian Markov Random Field model for the observations and a Potts MRF model to represent the a priori knowledge. In
Publicado em: 2010
-
2. A straightforward multiallelic significance test for the Hardy-Weinberg equilibrium law
Much forensic inference based upon DNA evidence is made assuming Hardy-Weinberg Equilibrium (HWE) for the genetic loci being used. Several statistical tests to detect and measure deviation from HWE have been devised, and their limitations become more obvious when testing for deviation within multiallelic DNA loci. The most popular methods-Chi-square and Like
Genetics and Molecular Biology. Publicado em: 2009
-
3. Bayesian methods in meta-analysis: specication of prior distributions for the between-studies variability / Métodos bayesianos em metanálise: especificação da distribuição a priori para a variabilidade entre os estudos
MAZIN, S. C. Bayesian methods in meta-analysis: specication of prior distributions for the between-studies variability. 2009. 175s. Dissertation (master degree) - Faculty of Medicine of Ribeir~ao Preto, University of S~ao Paulo, Ribeir~ao Preto, 2009. Health professionals, researchers and others responsible for health policy are often overwhelmed by amounts
Publicado em: 2009
-
4. Improvement of Wald residual in generalized linear models / Melhoramento do resíduo de Wald em modelos lineares generalizados
The theory of generalized linear models is very used in statistics, not only for modeling data normally distributed, but in the modeling of data whose distribution belongs to the exponential family of distributions. Some examples are binomial, gamma and inverse Gaussian distribution, among others. After tting a model in order to check the adequacy of tting,
Publicado em: 2008