Results 101 to 110 of about 18,701 (220)

Estimating the Parameters Geographically Weighted Regression (GWR) with Measurement Error

Open Journal of Statistics, 2013
Geographically weighted regression models with the measurement error are a modeling method that combines the global regression models with the measurement error and the weighted regression model. The assumptions used in this model are a normally distributed error with that the expectation value is zero and the variance is constant.
Ida Mariati Hutabarat, Asep Saefuddin, Anik Djuraidah, I Wayan Mangku   +3 more
openaire   +2 more sources

Prognostic value of grey-white matter ratio obtained within two hours after return of spontaneous circulation in out-of-hospital cardiac arrest survivors: A multicenter, observational study

Resuscitation Plus
Background: Grey-white matter ratio (GWR) measured by head computed tomography (CT) scan is known as a neurological prognostication tool for out-of-hospital cardiac arrest (OHCA) survivors.
Yuya Murakami, Takashi Hongo, Tetsuya Yumoto, Yoshinori Kosaki, Atsuyoshi Iida, Hiroki Maeyama, Fumiya Inoue, Toshihisa Ichiba, Atsunori Nakao, Hiromichi Naito   +9 more
doaj   +1 more source

Smith-Knight/Rayleigh-Knight Essay [PDF]

, 2009
On a complex variety X, two different approaches to K-theory are available: the algebraic K-theory of the variety, and the topological K-theory of the underlying topological space.
Zibrowius, Marcus
core  

Análisis de los hurtos en Colombia durante el año 2017 mediante los modelos de regresión lineal múltiple y la regresión ponderada geográficamente

Revista Criminalidad, 2019
Según información procedente del observatorio del delito de la Policía Nacional de Colombia, los hurtos a personas y de celulares han presentado una tendencia al alza desde el año 2003 (Norza, Peñalosa y Rodríguez, 2017).
Nelson Ricardo López-Herrera, Marlon Augusto Aceros-Bueno, Marianela Luzardo-Briceño   +2 more
doaj  

Extreme coefficients in Geographically Weighted Regression and their effects on mapping [PDF]

This study deals with the issue of extreme coefficients in geographically weighted regression (GWR) and their effects on mapping coefficients using three datasets with different spatial resolutions.
Cho, Seong-Hoon, Jung, Suhyun, Kim, Seung Gyu, Lambert, Dayton M.   +3 more
core   +1 more source

Sedimentary contamination study in the Great Chao Phraya River watershed, Thailand, using geographically weighted regression

International Journal of Digital Earth
This research investigated the spatial variations of heavy metals and nutrients in the sediment of the Great Chao Phraya River network of Thailand using geographically weighted regression (GWR).
Roshan Bhandari, Wenchao Xue, Shen Yu, Salvatore G. P. Virdis, Ekbordin Winijkul, Allan Sriratana Tabucanon, Tonni Agustiono Kurniawan, Monthip Sriratana   +7 more
doaj   +1 more source

Assessing the Spatial and Temporal Variation of Output-Input Elasticities of Agricultural Production in Turkey [PDF]

Turkey, Agricultural Reform and Implementation Project, geographically weighted regression, Agricultural and Food Policy, Research Methods/ Statistical Methods, Q18, C3,
Cho, Seong-Hoon, Gulden, Boluk, Koc, A. Ali, Seung Gyu, Kim, Yu, Tun-Hsiang (Edward)   +4 more
core   +1 more source

Incorporating spatial variation in housing attribute prices: A comparison of geographically weighted regression and the spatial expansion method [PDF]

Hedonic house price models typically impose a constant price structure on housing characteristics throughout an entire market area. However, there is increasing evidence that the marginal prices of many important attributes vary over space, especially ...
Bitter, Chris, Dall'erba, Sandy, Mulligan, Gordon   +2 more
core   +1 more source

Rise And Fall Of Cities, Measuring Spatial Clustering And Economies Of Urban Agglomeration In West Java [PDF]

With others neighboring Provinces in the western part of Java, the West Java Province shares the southeast Asian most densely urban area (Bodebek as part of Jabodetabek and Greater Bandung). This research tries to identify the spatial clustering of urban
Eva Nurwita, Rullan Rinaldi
core  

Public Expenditure and Poverty Reduction in the Southern United States [PDF]

The objective of this research was to analyze the effects of education, health and hospital, parks and recreation, and public welfare expenditures on poverty, focusing particularly on how these relationships change over space and time.
Cho, Seong-Hoon, Jung, Suhyun, Roberts, Roland K.   +2 more
core   +1 more source