Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Spatial Random Effects model"'
Publikováno v:
Axioms, Vol 13, Iss 6, p 378 (2024)
Under the condition of non-classical distributed errors, the test for spatial dependence in spatial panel data models is still a problem waiting to be solved. In this paper, we apply the FDB (Fast Double Bootstrap) method to spatial panel data models
Externí odkaz:
https://doaj.org/article/9882453706314d5397dd15853183bbc8
Autor:
Andrew Zammit-Mangion, Noel Cressie
Publikováno v:
Journal of Statistical Software, Vol 98, Iss 1 (2021)
FRK is an R software package for spatial/spatio-temporal modeling and prediction with large datasets. It facilitates optimal spatial prediction (kriging) on the most commonly used manifolds (in Euclidean space and on the surface of the sphere), for b
Externí odkaz:
https://doaj.org/article/53076c10a7874ba5b2f0e6dc3bac9349
Publikováno v:
Econometrics, Vol 3, Iss 2, Pp 317-338 (2015)
The SAR model is widely used in spatial econometrics to model Gaussian processes on a discrete spatial lattice, but for large datasets, fitting it becomes computationally prohibitive, and hence, its usefulness can be limited. A computationally-effici
Externí odkaz:
https://doaj.org/article/f840527cdf784538b62163eb6a021641
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Remote Sensing, Vol 9, Iss 2, p 142 (2017)
Global maps of total-column carbon dioxide (CO2) mole fraction (in units of parts per million) are important tools for climate research since they provide insights into the spatial distribution of carbon intake and emissions as well as their seasonal
Externí odkaz:
https://doaj.org/article/4a7eae317fa646048301c6dea3b57da1
Autor:
Noel A Cressie, Andrew Zammit-Mangion
Publikováno v:
Journal of Statistical Software; Vol 98 (2021); 1-48
FRK is an R software package for spatial/spatio-temporal modelling and prediction with large datasets. It facilitates optimal spatial prediction (kriging) on the most commonly used manifolds (in Euclidean space and on the surface of the sphere), for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89affbad06b153c3ca19d1ddee307559
https://doi.org/10.18637/jss.v098.i04
https://doi.org/10.18637/jss.v098.i04
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Econometrics
Volume 3
Issue 2
Pages 317-338
Econometrics, Vol 3, Iss 2, Pp 317-338 (2015)
Volume 3
Issue 2
Pages 317-338
Econometrics, Vol 3, Iss 2, Pp 317-338 (2015)
The SAR model is widely used in spatial econometrics to model Gaussian processes on a discrete spatial lattice, but for large datasets, fitting it becomes computationally prohibitive, and hence, its usefulness can be limited. A computationally-effici
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c1043c2880c8f093523c3866f86494d
Publikováno v:
Remote Sensing; Volume 9; Issue 2; Pages: 142
Remote Sensing, Vol 9, Iss 2, p 142 (2017)
Remote Sensing, Vol 9, Iss 2, p 142 (2017)
Global maps of total-column carbon dioxide (CO2) mole fraction (in units of parts per million) are important tools for climate research since they provide insights into the spatial distribution of carbon intake and emissions as well as their seasonal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58d9b69e86a854bcd77c737477e863ca
https://doi.org/10.3390/rs9020142
https://doi.org/10.3390/rs9020142