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Estimation of Spatial Lag Model Under Random Missing Data in the Dependent Variable. Two Stage Estimator with Imputation
(Pontificia Universidad Católica del Perú, 2021)
Estimation of Spatial Lag Model Under Random Missing Data in the Dependent Variable. Two Stage Estimator with Imputation
(Pontificia Universidad Católica del PerúPE, 2022)
Estimation of Spatial Lag Model Under Random Missing Data in the Dependent Variable. Two Stage Estimator with Imputation
(Pontificia Universidad Católica del Perú. Fondo EditorialPE, 2021)
An image quality index based on coefficients of spatial association with an application to image fusion
(Elsevier, 2018-03)
In the last decade, image quality indices have received considerable attention to quantify the dissimilarity between two images. The codispersion coefficient, commonly used in spatial statistics to address the association ...
A psychophysical and computational analysis of the spatio-temporal mechanisms underlying the flash-lag effect
(PION LTD, 2008)
Several accounts put forth to explain the flash-lag effect (FLE) rely mainly on either spatial or temporal mechanisms. Here we investigated the relationship between these mechanisms by psychophysical and theoretical ...
Padrões de distribuição de abundância de espécies e defasagem temporal da comunidade de amebas testáceas em diferentes escalas espaciais.Species abundance distribution and time lag in community of the testate amoebae at different spatial scales.
(Universidade Estadual de MaringáBrasilPrograma de Pós-Graduação em Ecologia de Ambientes Aquáticos ContinentaisUEMMaringáDepartamento de Biologia, 2018)
Regional subsidies and industrial prospects of lagging regions
(Escola de Pós-Graduação em Economia da FGV, 2007-03-12)
Large and sustained differences in economic performance across regions of developing countries have long provided motivation for fiscal incentives designed to encourage firm entry in lagging areas. Empirical evidence in ...
Geostatistics in the presence of geological boundaries: Exploratory tools for contact analysis
(Elsevier, 2020)
Identification and categorization of geological, geotechnical, or geometallurgical domains is a common practice in the modeling of mineral deposits, in order to account for the controls exerted by categorical variables ...
Comparing two spatial variables with the probability of agreement
(2024)
Computing the agree ment betwee n 2 con tinuous sequences is of grea t interest in statistics when comparing 2 instruments or one instrument with a gold standard. The probability of agree ment quantifies the similarity ...
Spatial modeling of dengue and socio-environmental indicators in the city of Rio de Janeiro, BrazilModelagem espacial da dengue e variáveis socioambientais no Município do Rio de Janeiro, Brasil
(Escola Nacional de Saúde Pública Sérgio Arouca, 2018)