Results 111 to 120 of about 90,983 (296)

PEMODELAN PERSENTASE PENDUDUK MISKIN DI KABUPATEN DAN KOTA DI JAWA TENGAH DENGAN PENDEKATAN MIXED GEOGRAPHICALLY WEIGHTED REGRESSION [PDF]

open access: yes, 2014
Regression analysis is a statistical analysis that models the relationship between the response variable and the predictor variable. Geographically Weighted Regression (GWR) is the development of linear regression with the added factor of the ...
Hakim, Arief Rachman
core  

The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry

open access: yesAgribusiness, EarlyView.
ABSTRACT This paper investigates the paradox of how Italy's fragmented, SME‐dominated wine industry achieves global export success. Moving beyond purely firm‐centric explanations, we test whether export intensity is spatially dependent, clustering geographically in regional ecosystems.
Nicolas Depetris Chauvin, Jonas Di Vita
wiley   +1 more source

APLIKASI MULTIVARIATE GEOGRAPHICALLY WEIGHTED REGRESSION (MGWR) MENGGUNAKAN SOFTWARE MATLAB : Studi Kasus Derajat Kesehatan di Jawa Barat [PDF]

open access: yes, 2016
Persamaan regresi dapat diterapkan pada kasus derajat kesehatan masyarakat. Indikator derajat kesehatan yang dalam penulisan ini adalah angka harapan hidup dan persentase gizi buruk balita.
Arumsari, Puty Andini
core  

Multiscale geographically weighted quantile regression

open access: yesSpatial Economic Analysis
Spatial heterogeneity across multiple scales is a common issue in various disciplines including economics and public health. Geographically weighted quantile regression (GWQR) addresses this by assuming the same spatial scale for all modelled processes at each quantile.
Allaa H. Elkady   +2 more
openaire   +1 more source

Do Politically Motivated Import Bans Leave Lasting Scars? Evidence From Australian–Chinese Beef Trade

open access: yesAgribusiness, EarlyView.
ABSTRACT In May 2020, China abruptly suspended imports from several major Australian beef processors, escalating a diplomatic dispute between the two countries. This trade measure disrupted one of the largest beef export relationships in the world almost overnight.
K. Aleks Schaefer, Youngjune Kim
wiley   +1 more source

Spatial clustering based on geographically weighted multivariate generalized gamma regression

open access: yesMethodsX
Geographically Weighted Regression (GWR) is one of the local statistical models that can capture the effects of spatial heterogeneity. This model can be used for both univariate and multivariate responses.
Hasbi Yasin, Purhadi, Achmad Choiruddin
doaj   +1 more source

Regional patterns of Romanian emigration. A Geographically Weighted Regression Model [PDF]

open access: yesRevista Romana de Economie, 2018
Analyses of emigration flows and their factors of influence are usually conducted at aggregate country level, thus ignoring the existence of large regional inequalities.
Zizi GOSCHIN
doaj  

When the River Runs Low: Heterogeneous Impacts of Transportation Disruptions on Local Grain Basis

open access: yesAgribusiness, EarlyView.
ABSTRACT A substantial share of U.S. soybean and corn exports from the Midwest moves by barge along the Mississippi River system to export terminals in the Louisiana Gulf. Transportation costs between Midwestern grain elevators and export terminals create a wedge between prices at these locations, and shocks to these costs are partially passed on to ...
Yuan Zhang   +3 more
wiley   +1 more source

Relationship Between Hospital Volume and Outcomes of Minimally Invasive Esophagectomy for Esophageal Cancer: Analysis of the National Clinical Database in Japan

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
According to multivariable analysis conducted using a hierarchical logistic regression model, using VHH as the reference group, the odds ratios for mortality by hospital volume category were as follows: VLH, 2.70 (p < 0.0001); LH, 1.72 (p = 0.052); MH, 1.70 (p = 0.034); and HH, 1.43 (p = 0.173).
Soji Ozawa   +8 more
wiley   +1 more source

Accelerating Discovery of Organic Molecular Crystals via Materials Informatics and Autonomous Experiments

open access: yesAdvanced Intelligent Discovery, EarlyView.
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi   +2 more
wiley   +1 more source

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