weighted regression
Modelação das taxas de mortalidade associadas a hábitos alimentares nos municípios portugueses -uma análise exploratória utilizando geographically weighted regression
... A metodologia utilizada é composta por duas fases principais. Primeiro, o conjunto das variáveis socioeconómicas e espaciais são analisadas utilizando um processo iterativo que aplica o Ordinary Least Squares (OLS), para ...
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Modelling youth pregnancy in continental Portugal through geographically weighted regression
... Youth pregnancy, a global public health problem with impor- tant social, educational and economic impact, has mostly been studied in the least developed countries. However, this condition also affects the industrialized ...
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Modeling malaria cases associated with environmental risk factors in Ethiopia using geographically weighted regression
... geographically weighted regression modeling used to analysis and model the association between environmental risk factors and malaria cases in Ethiopia at wards ...
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AN INVESTIGATION OF LOCAL EFFECTS ON SURFACE WARMING WITH GEOGRAPHICALLY WEIGHTED REGRESSION (GWR)
... Geographically Weighted Regression (GWR) to analyze the spatial relationship between urban form and surface temperature variation in order to clarify the local effects on surface warming, moreover to reveal ...
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Testing the water-energy theory on American palms (Arecaceae) using geographically weighted regression.
... geographically weighted regression for testing this hypothesis on a continuous species richness gradient that is entirely located within the tropics and ...
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MAPPING OF ILLITERACY AND INFORMATION AND COMMUNICATION TECHNOLOGY INDICATORS USING GEOGRAPHICALLY WEIGHTED REGRESSION
... Geographically Weighted Regression (GWR) is a technique that brings the framework of a simple regression model into a weighted regression ...bandwidth, weighted by kernel ...
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Análise espacial dos resultados eleitorais em Portugal – Aplicação do Geographically Weighted Regression
... A partir do ficheiro de resultados do “ output” do modelo de regressão dos resultados do Partido Comunista Português podemos concluir, por comparação que existe uma sig[r] ...
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A geographically weighted regression approach to investigate air pollution effect on lung cancer : a case study
... Poisson regression, where the observed cases are the dependent variable, the expected cases compensated and two types of terms of random effects that take into account both spatial continuity and spatial ...
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A geographically weighted regression approach to investigate air pollution effect on lung cancer
... a regression point that is weighted by the distance of the point ...classical regression models (Foody, 2003). GWR extends the global regression technique by allowing local parameters to be ...
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The use of weighted multiple linear regression to estimate QTL-by-QTL epistatic effects
... applying weighted multiple linear regression to estimate the parameter connected with an additive-by-additive epistatic ...of weighted regression to the marker data yielded estimates similar ...
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Weighted Twin Support Vector Machine with Universum
... From the above description, we know that �-TSVM uses hinge loss function just as �-SVM, so this algorithm is less robust, in other words, sensitive to noises. This is the common drawback of any learning method using ...
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Weighted bi-prediction for light field image coding
... this paper proposes to experimentally analyze if there is still room for improving the Bi-SS prediction by making use of different weighting coefficients for combining the two jointly estimated predictor blocks. While ...
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Weighted hardy operators in complementary morrey spaces
... The paper is organized as follows. In Section 2 we give definitions and necessary preliminaries, including conditions for radial functions to belong to complementary Morrey spaces. In Section 3 we prove the ...
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Revenue management through regression analysis
... Consumers’ preferences in general, and willingness to pay in particular, are constantly changing. From the point of view of profit maximization, the price discrimination allows sellers to earn much higher profits as ...
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Weighted Marking, Clique Structure and Node-Weighted Centrality to Predict Distribution Centre’s Location in a Supply Chain Management
... of weighted networks, they carried out statistical analysis of complex networks whose edges have assigned a given weight (the flow or the intensity), and such according to them can generally be described in terms ...
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rPrism: a software for reactive weighted state transition models
... In weighted switch graphs, instead of simply considering that an edge is active or inhibited, each domain has a weight. In order to express this, we can generalize the notion of instantiation. This is attained by ...
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Penalized regression methods for compositional data
... The SSL approach for the regression model with compositional covariates was applied to analyze the nutritional status of children treated at a tertiary university hospital. Our focus is to verify children with ...
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SOFTWARE ARCHITECTURE BASED REGRESSION TESTING
... The regression testing for analyzing the system during its life time is very ...Selective regression testing strategies to choose subset of test cases from previously run test cases, based on information ...
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Clusterwise regression para dados tipo-intervalo
... Non-Linear Regression - iCRCNLR), baseado no algoritmo de agrupamento dinâmico ( DIDAY; SIMON , 1980) e nos modelos de regressão linear e não-linear para dados tipo-intervalo ( NETO; CARVALHO , 2008; NETO; ...
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Post-processing through linear regression
... These techniques are applied in the context of the 63 Lorenz system, whose model version is affected by both ini- tial condition and model errors. For short forecast lead times, the number and choice of predictors plays ...
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