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

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). Search in Google Scholar

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). Search in Google Scholar

Cochran, W.G. 1977. Sampling Techniques. Wiley. New York. Search in Google Scholar

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). Search in Google Scholar

Istat. 2016. Istat’s Modernisation Programme. Available at: https://www.istat.it/en/files/2011/04/IstatsModernistionProgramme_EN.pdf (accessed June 2020). Search in Google Scholar

Kish, L. 1965. Survey Sampling. New York: Wiley. Search in Google Scholar

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. Search in Google Scholar

Nirel, R., and H. Glickman. 2009. “Sample Surveys and Censuses.” In Handbook of Statistics ed. D. Pfeffermann and C.R. Rao. 539–565. Elsevier. Search in Google Scholar

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. Search in Google Scholar

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). Search in Google Scholar

Tillé, Y. 2006. Sampling Algorithm. New York: Springer. Search in Google Scholar

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. Search in Google Scholar

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). Search in Google Scholar

• A General Framework for Multiple-Recapture Estimation that Incorporates Linkage Error Correction

• Exploratory Assessment of the Census of Pakistan Using Demographic Analysis

• Latent Class Analysis for Estimating an Unknown Population Size – with Application to Censuses

• Letter to the Editors

• Fertility Projections in a European Context: A Survey of Current Practices among Statistical Agencies

• A Simulation Study of Diagnostics for Selection Bias

• Preface

• Fay-Herriot Model-Based Prediction Alternatives for Estimating Households with Emigrated Members

• Spatio-Temporal Patterns in Portuguese Regional Fertility Rates: A Bayesian Approach for Spatial Clustering of Curves

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

• Modelling Frontier Mortality Using Bayesian Generalised Additive Models

• Probabilistic Projection of Subnational Life Expectancy