Likelihood Statistic
Mostrando 1-12 de 31 artigos, teses e dissertações.
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1. Slash Spatial Linear Modeling: Soybean Yield Variability as a Function of Soil Chemical Properties
ABSTRACT: In geostatistical modeling of soil chemical properties, one or more influential observations in a dataset may impair the construction of interpolation maps and their accuracy. An alternative to avoid the problem would be to use most robust models, based on distributions that have heavier tails. Therefore, this study proposes a spatial linear model
Rev. Bras. Ciênc. Solo. Publicado em: 15/02/2018
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2. Modelos lineares mistos em dados longitudionais com o uso do pacote ASReml-R / Linear Mixed Models with longitudinal data using ASReml-R package
Currently, most part of the experiments installed is designed to be carried out observations over time or at different depths. These experiments usually have a longitudinal factor. One way of analyzing this data set is by using mixed models through means of inclusion of random effect factors, and it is possible to estimate the variance components associated
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 10/04/2012
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3. PRESSUPOSTO DA NORMALIDADE MULTIVARIADA PARA O TESTE DE RAZÃO DE VEROSSIMILHANÇA ENTRE DOIS GRUPOS DE CARACTERES DE MAMONEIRA / ASSUMPTION OF MULTIVARIATE NORMALITY FOR THE LIKELIHOOD RATIO TEST BETWEEN TWO GROUPS OF CHARACTERS OF CASTOR BEANS
The likelihood ratio test for independence between two groups of variables allows us to identify whether there is a dependency relationship between two groups of variables, ie, if the covariance between the two groups are zero. This test assumes normality multivariate data, which limits its application, in many studies of agronomic area, times when you need
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 29/02/2012
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4. CorreÃÃo de Bartlett nos modelos nÃo-lineares simÃtricos heteroscedÃsticos
In this work, we treated of refinement of tests of hypotheses in symmetric nonlinear regression heteroskedastic models with link function any for the location and for the scale parameter. We developed, in matrix form, a Bartlettâs corrections factor to the likelihood ratio statistic in this class of models. We present, in matrix form, closed-form expression
Publicado em: 2009
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5. Adjusted likelihood ratio statistics in beta regression models / Ajustes para o teste da razão de verossimilhanças em modelos de regressão beta
We consider the issue of performing accurate small-sample likelihood-based inference in beta regression models, which are useful for modeling continuous proportions that are affected by independent variables. We derive Skovgaards (Scandinavian Journal of Statistics 28 (2001) 3-32) adjusted likelihood ratio statistics in this class of models. We show that the
Publicado em: 2009
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6. Optimum filtering to improve the performance of DOA-ML estimators / Filtragem otima para melhorar o desempenho de estimadores DOA-ML
We approached the estimation of direction of arrival (DOA) of plane waves using an array of sensors. In the literature there are several DOA estimators, but we considered only the maximum likelihood (ML) estimators that generate candidates for DOA estimation and select the best one through an ML criterion. We also considered situations where the signal sourc
Publicado em: 2009
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7. Um estudo sobre estimação e predição em modelos geoestatísticos bivariados / A study on estimation and prediction in bivariate geostatistical models
Os modelos geoestatísticos bivariados denem funções aleatórias para dois processos estocásticos com localizações espaciais conhecidas. Pode-se adotar a suposição da existência de um campo aleatório gaussiano latente para cada variável aleatória. A suposição de gaussianidade do processo latente é conveniente para inferências sobre parâmetros
Publicado em: 2009
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8. SMOOTH TRANSITION LOGISTIC REGRESSION MODEL TREE / MODELO DE REGRESSÃO LOGÍSTICA COM TRANSIÇÃO SUAVE ESTRUTURADO POR ÁRVORE (STLR-TREE)
The main goal of this work is to adapt the STR-Tree model, which is the combination of a Smooth Transition with Regression model with Classi cation and Regression Tree (CART), in order to use it in Classification. Some changes were made in its structural form and in the estimation. Due to the fact we are doing binary dependent variables classification, is ne
Publicado em: 2008
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9. Characterization of the Brazilians species of Myotis Kaup, 1929 (Chiroptera: Vespertilionidae) and test on the phylogeography of Myotis nigricans (Schinz, 1821) and Myotis riparius Handley, 1960 / Caracterização das espécies brasileiras de Myotis Kaup, 1829 (Chiroptera: Vespertilionidae) e ensaio sobre filogeografia de Myotis nigricans (Schinz, 1821) e Myotis riparius Handley, 1960
Myotis is a highly diverse genus, with 103 species recognized so far, in addition to another 94 subspecies whose taxonomical status has not yet been completely evaluated. Twelve species are known to South America, among which five are considered polytypic, including Myotis nigricans. This taxon in considered a species complex. In order to characterize, both
Publicado em: 2008
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10. TESTS WITH CONDITIONAL FREQUENTISTS ERRORS AND TESTS WITH INTERPRETATION BAYESIAN AND CONDITIONAL FREQUENTISTS. / TESTES COM ERROS FREQÃENTISTAS CONDICIONAIS E TESTES COM INTERPRETAÃÃO BAYESIANA E FREQÃENTISTA CONDICIONAL
The Neyman-Pearson tests of hypotheses present probabilities of error independent of the observed data; this is an enormous source of critics. In the significance tests the p-value is used, but this is not a frequentist measuring.Kiefer (1977) formalized a frequentist methodology dependent of the data. The sample space is partitioned using a partitioning fun
Publicado em: 2007
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11. Modelo de Grubbs em grupos / Grubbs model with subgroups
Neste trabalho, apresentamos um estudo de inferência estatística no modelo de Grubbs em grupos, que representa uma extensão do modelo proposto por Grubbs (1948,1973) que é freqüentemente usado para comparar instrumentos ou métodos de medição. Nós consideramos a parametrização proposta por Bedrick (2001). O estudo é baseado no método de máxima v
Publicado em: 2006
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12. Fatores de risco para doença de refluxo gastroesofagico em recem-nascidos com menos de 1500 gramas e displasia broncopulmonar / Risk factors for gastresophageal reflux in very low birthweight infants with bronchopulmonary dysplasia
Gastroesophageal reflux disease (GERD) is the most common illness in neonatal period, and is considered an associated factor for respiratory diseases. However, several aspects of GERD are controversy and not appropriately known in premature. Bronchopulmonary dysplasia (BPD) is the most common chronic lung disease in very low birth weight (VLBW) infants. Due
Publicado em: 2006