Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Marcello D'Orazio"'
Publikováno v:
Revista Română de Statistică, Vol 67, Iss 3, Pp 5-16 (2019)
This work introduces a relatively new procedure for integrating social survey data through combined use of machine learning techniques and well-known statistical matching methods. The integration is performed with the scope of studying the relationsh
Externí odkaz:
https://doaj.org/article/317cebe82135420fb37019933b07d5ad
Publikováno v:
Revista Română de Statistică, Vol 64, Iss 2, Pp 043-058 (2016)
Usually sample surveys on enterprises and farms adopt a one stage stratified sampling design. In practice the sampling frame is divided in non-overlapping strata and simple random sampling is carried out independently in each stratum. Stratification
Externí odkaz:
https://doaj.org/article/14b6ccca32f1473da753401d0c14314a
Autor:
Marcello D’Orazio
Publikováno v:
Revista Română de Statistică, Vol 63, Iss 2, Pp 57-68 (2015)
Statistical matching methods permit to integrate two or more data sources with the purpose of investigating the relationship between variables not jointly observed. Recently these methods received much attention as valid alternative to produce new st
Externí odkaz:
https://doaj.org/article/52185957892c4fd0b97c6e617672363f
Autor:
Dramane Bako, Marcello D’Orazio, Silvia Missiroli, Vincent Fred Ssennono, Chiara Brunelli, Talip Kilic, Giulia Ponzini, Flavio Bolliger
Publikováno v:
Statistical Journal of the IAOS. 38:97-110
The 50x2030 Initiative proposes an integrated modular agricultural and rural survey program that promotes the integration of traditional socio-economic household surveys and agricultural surveys in beneficiary countries. An integrated sampling design
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7963938d1df7f7ad3395b86a619db10b
https://doi.org/10.3233/sji-210905
https://doi.org/10.3233/sji-210905
Autor:
Marcello D'Orazio, Pietro Gennari
Publikováno v:
Statistical Journal of the IAOS. 36:1129-1142
The global SDG indicator framework establishes a set of measurement tools to assess country performances in a comparable way, and helps governments to identify appropriate policy interventions to achieve the SDG targets. Five years into the implement
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71e96bd2ee15e50f735c0a41a5a32aa3
https://doi.org/10.3233/sji-200688
https://doi.org/10.3233/sji-200688
Autor:
Marcello D'Orazio
Publikováno v:
Statistical Journal of the IAOS. 35:435-441
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c5d3a319d57fac4a8f74a36f53164a0
https://doi.org/10.3233/sji-190518
https://doi.org/10.3233/sji-190518
Publikováno v:
International Journal of Approximate Reasoning. 90:433-440
Statistical matching aims at combining information available in distinct sample surveys referred to the same target population. The matching is usually based on a set of common variables shared by the available data sources. For matching purposes jus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89f6ed13ff0356175c7e2096ab37f0fa
https://doi.org/10.1016/j.ijar.2017.08.015
https://doi.org/10.1016/j.ijar.2017.08.015
Publikováno v:
Analysis of Integrated Data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b9d8fbd415149fd80159a13364ff724
https://doi.org/10.1201/9781315120416-5
https://doi.org/10.1201/9781315120416-5
The role of the conditional independence assumption in statistically matching income and consumption
Autor:
Antony Rizzi, Gabriella Donatiello, Mattia Spaziani, Doriana Frattarola, Mauro Scanu, Marcello D'Orazio
Publikováno v:
Statistical Journal of the IAOS. 32:667-675
The need of new indicators that cover cross-cutting information on household economic well-being is among the current priorities of the National Statistical Institutes as well as a major goal at European level. The purpose of this paper is to apply s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee6d9f59ea8da87d011e6f243c9c3648
https://doi.org/10.3233/sji-161000
https://doi.org/10.3233/sji-161000
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319429717
SMPS
SMPS
Statistical matching aims at combining information available in distinct sample surveys referred to the same target population. The matching is usually based on a set of common variables shared by the available data sources. For matching purposes jus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31918deca4e8e52d52829a02692dfe60
https://doi.org/10.1007/978-3-319-42972-4_19
https://doi.org/10.1007/978-3-319-42972-4_19