Robust Estimators
Mostrando 1-12 de 17 artigos, teses e dissertações.
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1. Estimating Poisson pseudo-maximum-likelihood rather than log-linear model of a log-transformed dependent variable
Abstract Purpose The purpose of this study is to account for a recent non-mainstream econometric approach using microdata and how it can inform research in business administration. More specifically, the paper draws from the applied microeconometric literature stances in favor of fitting Poisson regression with robust standard errors rather than the OLS lin
RAUSP Manag. J.. Publicado em: 13/12/2019
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2. Application of the Respondent-Driven Sampling methodology in a biological and behavioral surveillance survey among female sex workers, Brazil, 2016
RESUMO Introdução: O método de amostragem Respondent-Driven Sampling (RDS) tem sido utilizado em inquéritos com populações-chave sob maior risco de infecção pelo HIV, como as mulheres trabalhadoras do sexo (MTS). Este artigo tem o objetivo de descrever a implementação do RDS entre MTS em 12 cidades brasileiras em 2016. Metodologia: Trata-se de um
Rev. bras. epidemiol.. Publicado em: 26/09/2019
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3. DELINEATION OF HOMOGENEOUS ZONES BASED ON GEOSTATISTICAL MODELS ROBUST TO OUTLIERS
RESUMO Diversas pesquisas utilizam medidas de condutividade elétrica aparente do solo (CEa) como indicador da variabilidade espacial de atributos físico-químicos existentes no campo de produção. Com base nestas medidas, zonas de manejo (ZM) são delineadas para aperfeiçoamento da gestão agrícola. Entretanto, estas amostras têm apresentado presença
Rev. Caatinga. Publicado em: 18/07/2019
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4. 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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5. Taxonomic distinctness and conservation of a new high biodiversity subterranean area in Brazil
Subterranean environments, even though they do not possess a primary production (photosynthesis), may present high biodiversity, faunistic originality, endemism, phylogenetic isolations and unique ecological and/or evolution events, in addition to rare taxa. Studies investigating the biological diversity in Neotropical caves are relatively rare and recent, a
An. Acad. Bras. Ciênc.. Publicado em: 10/02/2015
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6. Estabilidad de la estimación de la onda anual en escala diaria de la temperatura
The choice of estimation of deterministic effect method in climate series is usually the starting point for most studies on climate variability. This decision is more sensitive when the presence of nonlinear phenomena is explored. Therefore, this paper analyzes the robustness and stability of different methods to estimate the annual cycle in time series of d
Rev. bras. meteorol.. Publicado em: 2012-12
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7. Eficiência de estimadores robustos a observações discrepantes em modelo de regressão multivariada com aplicação na análise sensorial do café / Robust estimators efficiency to outliers in multivariate regression with application in the sensory analysis of coffee
Dada a sensibilidade do método de mínimos quadrados à presença de observações discrepantes, é sabido que as estimativas de mínimos quadrados são afetadas pela presença de uma ou mais dessas observações. Frente ao exposto, esse trabalho foi realizado com o objetivo de pesquisar o efeito de observações discrepantes no ajuste de modelos de regress
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 03/08/2011
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8. Stochastic texture image estimators for local spatial anisotropy and its variability
A new image analysis technique is proposed for the evaluation of local anisotropy and its variability in stochastic texture images. It utilizes the gradient function to provide information on local anisotropy, from two-dimensional (2-D) density images for foil materials like polymer sheets, nonwoven textiles, and paper. Such images can be captured by radiogr
Publicado em: 2011
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9. Two empirical essays on macroeconomics and income inequality / Dois ensaios empíricos em macroeconomia e desigualdade de renda
This dissertation consists of two empirical essays relating macroeconomic variables and income inequality. The aim of the first essay is to evaluate how a change in the inflation rate affects the income distribution. In order to do this, a panel of yearly data for about 80 countries between 1987 and 2006 is used. Then static and dynamic models in which incom
Publicado em: 2010
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10. 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
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11. Comportamiento del tiempo de duración, la frecuencia de los cortocircuitos y la conductividad eléctrica durante el reencendido del arco en la soldadura SMAW (AC) con electrodos E6013
The objective of this work is the valuation of the behavior of short-circuits frequency and duration time and electrical conductivity on arc reigniting in SMAW (Shielded Metal Arc Welding) process with alternate current and E6013 electrodes. The non parametric statistic analysis realize a robust data processing, minimizing the outliers influence and mistakes
Soldagem & Inspeção. Publicado em: 2009-03
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12. Estimadores robustos para sistemas lineares e não-lineares
The main focus of this dissertation is to develop and analyze robust estimators for linear and nonlinear discrete time systems subject to uncertainties. The design of the estimators, using the Riccati equation approach, leads to a guaranteed cost for all allowed uncertainties within a known set. Assuming norm bounded uncertainties, it is proposed a general r
Publicado em: 2009