Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Ali M. Mosammam"'
Publikováno v:
Information Sciences. 629:144-154
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cebcd6b4065566f7e14d132786794008
https://doi.org/10.1016/j.ins.2023.01.108
https://doi.org/10.1016/j.ins.2023.01.108
Autor:
Hadi Emami, Ali M. Mosammam
Publikováno v:
Communications in Statistics - Theory and Methods. 51:3285-3300
In this paper, we consider estimation and inference procedures in spatial linear models when some of the covariates are measured with errors. It is assumed that the additive error distributed accor...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eca4742ea25cad460943ecf506721292
https://doi.org/10.1080/03610926.2020.1793204
https://doi.org/10.1080/03610926.2020.1793204
Publikováno v:
Communications in Statistics - Simulation and Computation. 51:1103-1120
In this paper, we first study the theory of the spatial-temporal half spectral modeling and describe some properties of recently proposed half spectral models. Next, we propose an estimation method...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebc4f033f85f1e2562a949edf6c8a8d5
https://doi.org/10.1080/03610918.2019.1664572
https://doi.org/10.1080/03610918.2019.1664572
Autor:
Serve Mohammadi, Ali M. Mosammam
Publikováno v:
Journal of Statistical Sciences. 12:513-525
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3e28934cfb330afabf339db17b53c38
https://doi.org/10.29252/jss.12.2.513
https://doi.org/10.29252/jss.12.2.513
Publikováno v:
Outlook on Agriculture. 47:36-43
The aim of this article was to present a “snapshot” of Iran’s total import-related food miles and associated direct environmental costs in 1999 and 2013. Based on a customized model, the import-related “food miles” was calculated for 14 foo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::747c0df27d9be990e09f80b200b017f1
https://doi.org/10.1177/0030727018761691
https://doi.org/10.1177/0030727018761691
Publikováno v:
The Professional Geographer. 69:455-471
The purpose of this article is to identify food deserts using a geographic information system (GIS)-based multicriteria decision-making (MCDM) approach in the city of Tehran. We have found that, compared to technocratic methods, GIS-based MCDM and ta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec8c03dfe62c36fafe63b8e7060a22a8
https://doi.org/10.1080/00330124.2016.1266949
https://doi.org/10.1080/00330124.2016.1266949
Autor:
Ali M. Mosammam
Publikováno v:
Spatial Statistics. 16:19-34
In this paper we propose a method called half spectral composite likelihood for the estimation of spatial–temporal covariance functions which involves a spectral approach in time and a covariance function in space. It facilitates the analysis of sp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02b90bed3f319c5f76c3c6b7450086f0
https://doi.org/10.1016/j.spasta.2016.01.003
https://doi.org/10.1016/j.spasta.2016.01.003
Autor:
Jorge Mateu, Ali M. Mosammam
In this paper, we study space–time generalized additive models. We apply the penalyzed likelihood method to fit generalized additive models (GAMs) for nonseparable spatio-temporal correlated data in order to improve the estimation of the response a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77ac8a728597bb5ec902cbc3a9208f51
Autor:
John T. Kent, Ali M. Mosammam
Publikováno v:
Environmental and Ecological Statistics. 23:43-64
In this paper we explore a covariance-spectral modelling strategy for spatial-temporal processes which involves a spectral approach for time but a covariance approach for space. It facilitates the analysis of coherence between the temporal frequency
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9fdeb0af5e88dc16062b5751318645ce
https://doi.org/10.1007/s10651-015-0322-y
https://doi.org/10.1007/s10651-015-0322-y
Autor:
Hassan Mohammadian Mosammam, Jamileh Tavakoli Nia, Ali M. Mosammam, Mozaffar Sarrafi, Hassan Esmaeilzadeh
Publikováno v:
Journal of Water and Climate Change. 7:212-223
Climate change is one of the greatest challenges in the 21st century and the agriculture sector is very vulnerable to this phenomenon. Since wheat is the most important cereal crop in Iran, we aim to analyze the potential impact of climatic variables
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ddf5e2d40ec18210668e1868b3b7ded
https://doi.org/10.2166/wcc.2015.153
https://doi.org/10.2166/wcc.2015.153