Zobrazeno 1 - 10
of 1 547
pro vyhledávání: '"spatial autoregressive"'
Autor:
Furková Andrea, Knížat Peter
Publikováno v:
Business Systems Research, Vol 15, Iss 2, Pp 48-66 (2024)
It is a well-known phenomenon that nonlinearities that are inherent in the relationship among economic variables negatively affect the commonly used estimators in the econometric models. The nonlinearities cause an instability of the estimated parame
Externí odkaz:
https://doaj.org/article/5f80fb84018a499daa801d185f3b14ee
Publikováno v:
Jurnal Lebesgue, Vol 5, Iss 2, Pp 943-963 (2024)
Diarrhea disease is categorized as the top 10 most common diseases in North Sumatra, especially Medan City. The number of diarrhea cases in each sub-district in Medan City varies, indicating a relationship between regions. This is the basis for the u
Externí odkaz:
https://doaj.org/article/b5f2210e9db7405c9827b7cd1a6b787f
Publikováno v:
Jurnal Lebesgue, Vol 5, Iss 1, Pp 420-428 (2024)
The Human Development Index (HDI) is one of the important indicators in development. Some of the factors that influence the Development Index in North Sumatra in 2021 are the percentage of toddlers who have received measles immunization, the percenta
Externí odkaz:
https://doaj.org/article/3140a63f8bba40698f2277ddd62b2ba4
Publikováno v:
Journal of Applied Research in Higher Education, 2023, Vol. 16, Issue 1, pp. 61-76.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JARHE-10-2022-0322
Publikováno v:
Jurnal Matematika Integratif, Vol 19, Iss 2, Pp 137-147 (2023)
Model Spatial Autoregressive Exogenous (SAR-X) merupakan model yang digunakan untuk memprediksi pengaruh lokasi dan variabel exogenous. Autokorelasi spasial pada data dapat diketahui melalui indeks Moran. Data penetapan Warisan Budaya Takbenda (WBTb)
Externí odkaz:
https://doaj.org/article/afb3fb5e2daa408798576f2238c13f12
Publikováno v:
Systems, Vol 12, Iss 10, p 391 (2024)
Achieving “dual carbon” targets by containing carbon emissions while sustaining economic growth is challenging. This study examines the varying carbon dependency levels among China’s 30 provincial-level administrative units, considering spatial
Externí odkaz:
https://doaj.org/article/8f4c805648c24c6c97325f93ea306e26
Akademický článek
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Publikováno v:
Entropy, Vol 26, Iss 6, p 498 (2024)
Many semiparametric spatial autoregressive (SSAR) models have been used to analyze spatial data in a variety of applications; however, it is a common phenomenon that heteroscedasticity often occurs in spatial data analysis. Therefore, when considerin
Externí odkaz:
https://doaj.org/article/aa8b2474debd405a8f3241e3ec9b88ca
Publikováno v:
HortScience, Vol 59, Iss 3 (2024)
This study examines the effect of social learning on new turfgrass variety adoption decisions using data from 231 turfgrass professionals’ Twitter accounts between 1 Jun 2018 and 31 Dec 2019. To determine the social learning effect, we decompose ne
Externí odkaz:
https://doaj.org/article/616804ce2c2443c09b12ed196c392aee
Autor:
Muhamad Sobari, Armalia Desiyanti, Devi Yanti, Putri Monika, Atje Setiawan Abdullah, Budi Nurani Ruchjana
Publikováno v:
JTAM (Jurnal Teori dan Aplikasi Matematika), Vol 7, Iss 1, Pp 244-261 (2023)
Intangible Cultural Heritage (ICH) can effectively contribute to Sustainable Development Goals (SDGs) in all economic, social, and environmental dimensions, along with peace and security. Studying ICH in Indonesia cannot be separated from the spatial
Externí odkaz:
https://doaj.org/article/d390fd6410ca44a49b21448cf031add4