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Optimal Sampling for the Population Coverage Survey of the New Italian Register Based Census Cover

Optimal Sampling for the Population Coverage Survey of the New Italian Register Based Census

Open Access
|Sep 2021

References

  1. Alleva, G. 2017. “The new role of sample surveys in official statistics.” Paper presented at 5th Italian Conference on Survey Methodology – Itacosm 2017, June 14–17, 2017, Bologna. Available at: https://www.istat.it/it/files//2015/10/Alleva_ITACOSM_14062017.pdf (accessed September 2019).
  2. Buglielli, T., De Vitiis C., Barcaroli G. 2013. MAUSS-R. R package version 1.1. Available at: https://www.istat.it/en/methods-and-tools/methods-and-it-tools/design/design-tools/mauss-r (accessed June 2021).
  3. Cochran, W.G. 1977. Sampling Techniques. Wiley. New York.
  4. Falorsi, P.D., and P. Righi. 2015. “Generalized framework for defining the optimal inclusion probabilities of one-stage sampling designs for multivariate and multi-domain surveys.” Survey Methodology 41: 215–236. Available at: https://www150.statcan.gc.-ca/n1/pub/12-001-x/2015001/article/14149-eng.pdf (accessed June 2021).
  5. Istat. 2016. Istat’s Modernisation Programme. Available at: https://www.istat.it/en/files/2011/04/IstatsModernistionProgramme_EN.pdf (accessed June 2020).
  6. Kish, L. 1965. Survey Sampling. New York: Wiley.
  7. Mancini, L., and A. Ronconi. 2017. “La rilevazione sperimentale 2015 per l’indagine C-sample del censimento permanente della popolazione: copertura delle liste anagrafiche comunali e confronto con i risultati del 2011 (with abstract in English).” Istat Working Paper 2017. DOI: https://doi.org./10.13140/RG.2.2.28529.79202.
  8. Nirel, R., and H. Glickman. 2009. “Sample Surveys and Censuses.” In Handbook of Statistics ed. D. Pfeffermann and C.R. Rao. 539–565. Elsevier.10.1016/S0169-7161(08)00021-7
  9. Pfeffermann, D. 2015. “Methodological Issues and Challenges in the Production of Official Statistics.” Journal of Survey Statistics and Methodology, 3: 425–483. DOI: https://doi.org/10.1093/jssam/smv035.10.1093/jssam/smv035
  10. Singh, A.C., and C.A. Mohl. 1996. “Understanding Calibration Estimators in Survey Sampling.” Survey Methodology 22: 107–115. Available at: https://www150.statcan.gc.ca/n1/en/pub/12-001-x/1996002/article/2973-eng.pdf?st=8C3F8n32 (accessed June 2021).
  11. Tillé, Y. 2006. Sampling Algorithm. New York: Springer.
  12. Wolter, K.M. 1986. “Some Coverage Error Models for Census Data.” Journal of the American Statistical Association, 81: 338–346. DOI: https://doi.org/10.1080/01621459.1986.10478277.10.1080/01621459.1986.10478277
  13. Zardetto, D. 2020. Package ReGenesees R Evolved Generalized Software for Sampling Estimates and Errors in Surveys. R package version 2.0. Available at: https://www.istat.it/en/methods-and-tools/methods-and-it-tools/process/processing-tools/regenesees (accessed June 2021).
Language: English
Page range: 655 - 671
Submitted on: Sep 1, 2019
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Accepted on: Nov 1, 2020
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Published on: Sep 13, 2021
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2021 Paolo Righi, Piero Demetrio Falorsi, Stefano Daddi, Epifania Fiorello, Pierpaolo Massoli, Marco Dionisio Terribili, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.