INTEGRAZIONE
MEMOBUST – Handbook on Methodology of Modern Business Statistics
Micro-Fusion
2014
MEETS ESSnet MEMOBUST
State of the art on statistical methodologies for data integration
Methodological developments
2011
ESSnet on Data Integration
Old and new approaches in statistical matching when samples are drawn with complex survey designs
2010
in Proceedings of the SIS Conference, Padua
ISAD Work packages and executive summary
2008
ESSnet Statistical Methodology – Area ISAD (Integration of Survey and Administrative Data)
Metodi statistici per il record linkage
2005
Metodi e Norme, N. 16, Istat
Riferimenti
D’Orazio, M., M. Di Zio, and M. Scanu. 2006. “Statistical Matching for Categorical Data: Displaying Uncertainty and Using Logical Constraints“. Journal of Official Statistics – JOS, Volume 22, N. 1: 137-157.
D’Orazio, M., M. Di Zio, and M. Scanu. 2006. Statistical Matching: Theory and Practice. Chichester: J. Wiley & Sons.
CODIFICA DELLE RISPOSTE TESTUALI
Metodi e software per la codifica automatica e assistita dei dati
2007
Tecniche e strumenti, N.4, Istat
Riferimenti
Vicari, P. (A cura di). 2008. “L’ambiente di codifica automatica dell’ATECO 2007. Esperienze effettuate e prospettive“. Metodi e Norme, N. 41. Roma: Istat.
Macchia, S., M. Murgia, L. Mazza, G. Simeoni, F. Di Patrizio, V. Parisi, R. Petrillo, e P. Ungaro. 2005. “Una soluzione per la rilevazione e codifica della Professione nelle indagini CATI“. Contributi, N. 11. Roma: Istat.
Macchia, S., and M. D’Orazio. 2001. “A system to monitor the quality of automated coding of textual answers to open questions“. Research in Official Statistics, Volume 4, N. 2: 5-19.
INDIVIDUAZIONE E TRATTAMENTO DEGLI ERRORI DI MISURA E DELLE MANCATE RISPOSTE PARZIALI
MEMOBUST – Handbook on Methodology of Modern Business Statistics
Statistical Data Editing
Imputation
2014
MEETS ESSnet MEMOBUST
A Contamination Model for Selective Editing
2013
Journal of Official Statistics. Volume 29, Issue 4, Pages 539–555.
Recommended Practices for Editing and Imputation in Cross-Sectional Business Surveys
2007
European project EDIMBUS
Results of the EUREDIT project
Euredit – The Development and Evaluation of New Methods for Editing and Imputation
2003
European project EUREDIT
Riferimenti
De Wall, T., J. Pannekoek, and S. Sholtus. 2011. Handbook of Statistical Data Editing and Imputation. Hoboken, N.J.: J. Wiley & Sons.
Di Zio, M., U. Guarnera, and R. Rocci. 2007. “A mixture of mixture models for a classification problem: the unity measure error“. Computational Statistics and Data Analysis, N. 51: 2573-2585.
Di Zio, M., U. Guarnera, and O. Luzi. 2005. “Editing Systematic Unity Measure Errors Through Mixture Modelling“. Survey Methodology, Volume 31, N. 1: 53-63.
Pannekoek, J., and T. De Waal. 2005. “Automatic Edit and Imputation for Business Surveys: The Dutch Contribution to the EUREDIT Project“. Journal of Official Statistics – JOS, Volume 21, N. 2: 257-286.
Särndal, C. E., and S. Lundström. 2005. Estimation in Surveys with Nonresponse. New York: J. Wiley & Sons.
Chambers, R., A. Hentges, and X. Zhao. 2004. “Robust automatic methods for outlier and error detection“. Journal of the Royal Statistical Society, Series A (Statistics in society), Volume 167, Issue 2: 323-339.
Little, J., and D. Rubin. 2002. Statistical Analysis with Missing Data. New York: J. Wiley & Sons.
Chen, J., and J. Shao. 2000. “Nearest Neighbor Imputation for Survey Data“. Journal of Official Statistics, Volume 16, N. 2: 113-131.
Schafer, J. L. 2000. Analysis of Incomplete Multivariate Data. New York: Chapmann and Hall/CRC.
Latouche, M., and J.M. Berthelot. 1992. “Use of a Score Function to Prioritize and Limit Recontacts in Editing Business Surveys“. Journal of Official Statistics, Volume 8, N. 3: 389-400.
Little, R.J.A. 1988. “Missing-data adjustments in large surveys”. Journal of Business & Economic Statistics, Volume 6, N. 3: 287-296.
Rubin, D. 1987. Multiple Imputation for Nonresponse in Surveys. New York: J. Wiley & Sons.
Hidiroglou, M.A., and J.M. Berthelot. 1986. “Statistical editing and imputation for periodic business surveys.” Survey Methodology, Volume 12, N. 1: 73-83.
Kalton, G., and D. Kasprzyk. 1982. “Imputing for missing survey responses“. In Proceedings of the section on Survey Research Methods, American Statistical Association.
Fellegi, P.I., and D. Holt. 1976. “A systematic approach to automatic edit and imputation”. Journal of the American Statistical Association, Volume 71, Issue 353, Application Section: 17-35.
CALCOLO DELLE STIME E DEGLI ERRORI CAMPIONARI
MEMOBUST – Handbook on Methodology of Modern Business Statistics
Weighting and Estimation
2014
MEETS ESSnet MEMOBUST
Results of the SAE project
SAE – Small Area Estimation
2012
ESSnet SAE
Riponderazione
2005
Note metodologiche, Istat
Stime ed Errori
2005
Note metodologiche, Istat
Riferimenti
Falorsi, S., C. De Vitiis, L. Di Consiglio, C. Ceccarelli, A. Cutillo, e C. Rinaldelli. 2008. “Strategia di campionamento e precisione delle stime”. In “L’indagine europea sui redditi e le condizioni di vita delle famiglie (Eu-Silc)“. Metodi e Norme, N. 37. Roma: Istat.
De Vitiis, C., e S. Falorsi. 2006. “La procedura di stima e la valutazione degli errori campionari”. In “Il sistema di indagini sociali multiscopo. Contenuti e metodologia delle indagini“. Metodi e Norme, N. 31. Roma: Istat.
De Vitiis, C., e A. Pareto. 2006. “Strategia di campionamento e livello di precisione delle stime”. in “L’indagine campionaria sulle nascite: obiettivi, metodologia e organizzazione“. Metodi e Norme, N. 28. Roma: Istat.
Rao, J.N.K. 2003. Small Area Estimation. New York: J. Wiley & Sons.
Cicchitelli G., A. Herzel, e G.E. Montanari. 1992. Il campionamento statistico. Bologna: Il Mulino.
Deville, J.C., and C.E. Särndal. 1992. “Calibration Estimators in Survey Sampling”. Journal of the American Statistical Association. Volume 87, Issue 418, Theory and Method: 376-382.
Särndal, C.E., B. Swensson, and J. Wretman. 1992. Model Assisted Survey Sampling. New York: Springer-Verlag.
Cochran, W.G. 1977. Sampling Techniques. New York: J. Wiley & Sons.