Geographically Weighted Regression
Testing the water-energy theory on American palms (Arecaceae) using geographically weighted regression.
... Geographically weighted regression (GWR) is a geographically local modeling technique specifically designed to deal with spatial non-stationarity in the modeled relationships ...one ...
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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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AN INVESTIGATION OF LOCAL EFFECTS ON SURFACE WARMING WITH GEOGRAPHICALLY WEIGHTED REGRESSION (GWR)
... variables, Geographically Weighted Regression (GWR) is quite useful which allows complex spatial variations in parameters to be identified, mapped and modeled (Huang, 2000; Brunsdon et ...
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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
... tury, after three momentous events of air pollution, or smog, as they later became known. Such events in 1938 in the Meuse River Valley, Belgium; in 1948 in Donora, Pennsylvania; and the gravest of all, in 1952 in ...
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RAM, Rev. Adm. Mackenzie vol.11 número4
... and geographically weighted regression (GWR) in mea- suring the cultural influence of neighborhood in customer behavior in the ener- gy fraud act; (ii) to replace slum coverage areas by a regional ...
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Evaluation of geostatistical techniques to estimate the spatial distribution of aboveground biomass in the Amazon rainforest using high-resolution remote sensing data
... least-square regression (OLS) the technique with greater ...the geographically weighted regression (GWR) significantly improves the aboveground biomass estimates in the tropical rainforest ...
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Accident Analysis and Prevention
... The choice of bandwidth is more important than the type of kernel function. The bandwidth can be regarded as a smoothing parameter: the larger the band, the greater the smoothing of the local coefficients; in its turn, the ...
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Radiol Bras vol.43 número5 en v43n5a13
... T2- weighted sequences in the axial plane (a), sagittal plane (c) and coronal plane (d) and T1-weighted sequence in the axial plane with fat suppression after gadolinium injec- tion (b) show abscess located ...
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Arq. NeuroPsiquiatr. vol.65 número3A
... All MR imaging examinations were performed with 1.5- T MR imaging unit (Signa Horizon LX; GE Medical Systems, Milwaukee, Wis). The MR imaging protocol included the following sequences: T1-weighted images ...
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Alternative Fuzzy Switching Regression
... switching regression model with two parallel ...estimated regression models of EM, FCR and AFCR are shown in ...a regression model with two crossed lines and two outlier ...
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ON INTERVAL ESTIMATING REGRESSION
... The main motivation of the research presented in this paper is the 50 th anniversary of very simple nonparametric regression function estimator – the Nadaraya-Watson kernel estimator. It was invented independently ...
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Weighted Scale-Free Random Graph Model
... Abstract—Systems as diverse as genetic networks or the World Wide Web are best described as networks with complex topology. A common property of many large networks is that the vertex connectivities follow a scale-free ...
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The Two Feasible Seemingly Unrelated Regression Estimator
... (OLS) regression by applying regression of dependent variables on all explanatory variables explored that the coefficient estimators are best linear unbiased estimator (BLUE) he derived the exact moments of ...
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MAGNETIC RESONANCE IMAGING (MRI) SPECTRUM OF Rotator Cuff Tears, with Arthroscopic – MRI Contextualizations
... Tendon transformation due to tendinosis results in mucoid degeneration and fibrocartilaginous metaplasia, which appear as intermediate to high signal intensity in T2 weighted imaging, although not as high as ...
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Radiol Bras vol.48 número2
... Hemangioblastomas are highly vascularized and fre- quently cystic lesions with a mural nodule. Commonly, such lesions are benign and multifocal and present asso- ciation with edema or cysts developed along the neuroaxis ...
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Econometrics of Ascending Auctions by Quantile Regression
... quantile regression to recover the underlying distribution of bidders’ private values in ascend- ing auctions under the IPV ...quantile regression approach provides a flexible and convenient parametrization ...
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A Matlab program for stepwise regression
... linear regression is a multi-variable regression for identifying statistically significant variables in the linear regression equation (Zhang and Fang, ...
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Weighted Marking, Clique Structure and Node-Weighted Centrality to Predict Distribution Centre’s Location in a Supply Chain Management
... Node- Weighted Centrality Measure, the two nodes 5 and 22 are the most central in terms of the node-weightedness, thereby representing the cliques of Glasgow and Edinburgh ...
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Pesqui. Oper. vol.35 número1
... logistic regression and bounded logistic regression ...tic regression with state-dependent sample selection ...logistic regression models underestimate such ...
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