Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Hamidreza Navvabpour"'
Publikováno v:
فصلنامه پژوهشهای اقتصادی ایران, Vol 4, Iss 11, Pp 139-156 (2002)
Due to budget and time constraints, the National Statistical Organizations usually design their surveys and optimize the size of samples at a larger geographical level e.g. the national level. This causes the economic researchers, planners, and decis
Externí odkaz:
https://doaj.org/article/c57701083a534336af7b757f8e3fcbee
Publikováno v:
Journal of Poverty. 26:424-437
This paper applies a sustainability approach to develop a comprehensive framework for measuring Multidimensional Poverty Index (MPI) using the Alkire–Foster method across geographical and subpopula...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ff4fc46c426f19cae515567b339e18c
https://doi.org/10.1080/10875549.2021.1925806
https://doi.org/10.1080/10875549.2021.1925806
Publikováno v:
Statistical Papers. 61:2091-2117
In 2015, the European Commission has drafted a framework regulation for integrated European social statistics. This integration covers the Labour Force Survey, the Statistics on Income and Living conditions, and others. In order to avoid an inappropr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::151fac3e3ea4477dd537c5205210a2e3
https://doi.org/10.1007/s00362-018-1023-z
https://doi.org/10.1007/s00362-018-1023-z
Autor:
Hamidreza Navvabpour, Saeideh Kamgar
Publikováno v:
Journal of Statistical Research of Iran. 14:77-99
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bba25a2b350bcb5b3c43798dcd313913
https://doi.org/10.18869/acadpub.jsri.14.1.77
https://doi.org/10.18869/acadpub.jsri.14.1.77
Autor:
Hamidreza Navvabpour, Sepideh Mosaferi
Census counts are subject to different types of nonsampling errors. One of these main errors is coverage error. Undercount and overcount are two types of coverage error. Undercount usually occurs more than the other, thus net undercount estimation is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80dbd03ca38907bf3233834bbc60b84e
Publikováno v:
Applied Mathematics & Information Sciences. 10:1935-1948
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8256162abab4dde1f83a2a09b9c286a
https://doi.org/10.18576/amis/100535
https://doi.org/10.18576/amis/100535
Autor:
Ada Afshar, Hamidreza Navvabpour
Publikováno v:
Journal of Statistical Research of Iran. 11:1-23
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::279ad94df2f39099f1db0af74b0dec88
https://doi.org/10.18869/acadpub.jsri.11.1.1
https://doi.org/10.18869/acadpub.jsri.11.1.1
Publikováno v:
Communications in Statistics - Simulation and Computation. 39:1027-1048
There are many methods for analyzing longitudinal ordinal response data with random dropout. These include maximum likelihood (ML), weighted estimating equations (WEEs), and multiple imputations (MI). In this article, using a Markov model where the e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1c2f20b688a66a3e5e22085100df7f0
https://doi.org/10.1080/03610911003778085
https://doi.org/10.1080/03610911003778085