{"id":13187,"date":"2024-04-22T17:20:19","date_gmt":"2024-04-22T15:20:19","guid":{"rendered":"https:\/\/www.istat.it\/?page_id=13187"},"modified":"2024-04-24T15:04:05","modified_gmt":"2024-04-24T13:04:05","slug":"process-methods","status":"publish","type":"page","link":"https:\/\/www.istat.it\/en\/classifications-and-tools\/methods-and-software-of-the-statistical-process\/process-phase\/process-methods\/","title":{"rendered":"Process methods"},"content":{"rendered":"\n

Data integration<\/strong><\/h2>\n\n\n\n

MEMOBUST \u2013 Handbook on Methodology of Modern Business Statistics
Micro-Fusion<\/a><\/strong>
2014
MEETS ESSnet MEMOBUST<\/p>\n\n\n\n

State of the art on statistical methodologies for data integration<\/a><\/strong>
Methodological developments<\/a><\/strong>
2011
ESSnet on Data Integration<\/p>\n\n\n\n

Old and new approaches in statistical matching when samples are drawn with complex survey designs<\/a><\/strong>
2010
in Proceedings of the SIS Conference, Padua<\/p>\n\n\n\n

ISAD Work packages and executive summary<\/a><\/strong>
2008
ESSnet Statistical Methodology \u2013 Area ISAD (Integration of Survey and Administrative Data)<\/p>\n\n\n\n

Metodi statistici per il record linkage<\/a><\/strong>
2005
Metodi e Norme, N. 16, Istat<\/p>\n\n\n\n

Referen<\/strong>ces<\/strong><\/h3>\n\n\n\n

D\u2019Orazio, M., M. Di Zio, and M. Scanu. 2006. \u201cStatistical Matching for Categorical Data: Displaying Uncertainty and Using Logical Constraints<\/a>\u201c. Journal of Official Statistics \u2013 JOS<\/em>, Volume 22, N. 1: 137-157.<\/p>\n\n\n\n

D\u2019Orazio, M., M. Di Zio, and M. Scanu. 2006. Statistical Matching: Theory and Practice<\/em>. Chichester: J. Wiley & Sons.<\/p>\n\n\n\r\n\t

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Coding of textual answers<\/strong><\/h2>\n\n\n\n

Metodi e software per la codifica automatica e assistita dei dati<\/a><\/strong>
2007
Tecniche e strumenti, N.4, Istat<\/p>\n\n\n\n

References<\/h3>\n\n\n\n

Vicari, P. (A cura di). 2008. \u201cL\u2019ambiente di codifica automatica dell\u2019ATECO 2007. Esperienze effettuate e prospettive<\/a><\/em>\u201c. Metodi e Norme, N. 41. Roma: Istat.<\/p>\n\n\n\n

Macchia, S., M. Murgia, L. Mazza, G. Simeoni, F. Di Patrizio, V. Parisi, R. Petrillo, e P. Ungaro. 2005. \u201cUna soluzione per la rilevazione e codifica della Professione nelle indagini CATI<\/a><\/em>\u201c. Contributi, N. 11. Roma: Istat.<\/p>\n\n\n\n

Macchia, S., and M. D\u2019Orazio. 2001. \u201cA system to monitor the quality of automated coding of textual answers to open questions<\/a>\u201c. Research in Official Statistics<\/em>, Volume 4, N. 2: 5-19.<\/p>\n\n\n\r\n\t

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Detection and treatment of measurement errors and imputation<\/strong> of partial non-responses<\/strong><\/h2>\n\n\n\n

MEMOBUST \u2013 Handbook on Methodology of Modern Business Statistics
Statistical Data Editing<\/a><\/strong>
Imputation<\/a><\/strong>
2014
MEETS ESSnet MEMOBUST<\/p>\n\n\n\n

A Contamination Model for Selective Editing<\/a><\/strong>
2013
Journal of Official Statistics. Volume 29, Issue 4, Pages 539\u2013555.<\/p>\n\n\n\n

Recommended Practices for Editing and Imputation in Cross-Sectional Business Surveys<\/a><\/strong>
2007
European project EDIMBUS<\/p>\n\n\n\n

Results of the EUREDIT project
Euredit \u2013 The Development and Evaluation of New Methods for Editing and Imputation<\/a><\/strong>
2003
European project EUREDIT<\/p>\n\n\n\n

References<\/h3>\n\n\n\n

De Wall, T., J. Pannekoek, and S. Sholtus. 2011. Handbook of Statistical Data Editing and Imputation<\/em>. Hoboken, N.J.: J. Wiley & Sons.<\/p>\n\n\n\n

Di Zio, M., U. Guarnera, and R. Rocci. 2007. \u201cA mixture of mixture models for a classification problem: the unity measure error<\/a>\u201c. Computational Statistics and Data Analysis<\/em>, N. 51: 2573-2585.<\/p>\n\n\n\n

Di Zio, M., U. Guarnera, and O. Luzi. 2005. \u201cEditing Systematic Unity Measure Errors Through Mixture Modelling<\/a>\u201c. Survey Methodology<\/em>, Volume 31, N. 1: 53-63.<\/p>\n\n\n\n

Pannekoek, J., and T. De Waal. 2005. \u201cAutomatic Edit and Imputation for Business Surveys: The Dutch Contribution to the EUREDIT Project<\/a>\u201c. Journal of Official Statistics \u2013 JOS<\/em>, Volume 21, N. 2: 257-286.<\/p>\n\n\n\n

S\u00e4rndal, C. E., and S. Lundstr\u00f6m. 2005. Estimation in Surveys with Nonresponse<\/em>. New York: J. Wiley & Sons.<\/p>\n\n\n\n

Chambers, R., A. Hentges, and X. Zhao. 2004. \u201cRobust automatic methods for outlier and error detection<\/a>\u201c. Journal of the Royal Statistical Society<\/em>, Series A (Statistics in society), Volume 167, Issue 2: 323-339.<\/p>\n\n\n\n

Little, J., and D. Rubin. 2002. Statistical Analysis with Missing Data<\/em>. New York: J. Wiley & Sons.<\/p>\n\n\n\n

Chen, J., and J. Shao. 2000. \u201cNearest Neighbor Imputation for Survey Data<\/a>\u201c. Journal of Official Statistics<\/em>, Volume 16, N. 2: 113-131.<\/p>\n\n\n\n

Schafer, J. L. 2000. Analysis of Incomplete Multivariate Data<\/em>. New York: Chapmann and Hall\/CRC.<\/p>\n\n\n\n

Latouche, M., and J.M. Berthelot. 1992. \u201cUse of a Score Function to Prioritize and Limit Recontacts in Editing Business Surveys<\/a>\u201c. Journal of Official Statistics<\/em>, Volume 8, N. 3: 389-400.<\/p>\n\n\n\n

Little, R.J.A. 1988. \u201cMissing-data adjustments in large surveys\u201d. Journal of Business & Economic Statistics<\/em>, Volume 6, N. 3: 287-296.<\/p>\n\n\n\n

Rubin, D. 1987. Multiple Imputation for Nonresponse in Surveys<\/em>. New York: J. Wiley & Sons.<\/p>\n\n\n\n

Hidiroglou, M.A., and J.M. Berthelot. 1986. \u201cStatistical editing and imputation for periodic business surveys.\u201d Survey Methodology<\/em>, Volume 12, N. 1: 73-83.<\/p>\n\n\n\n

Kalton, G., and D. Kasprzyk. 1982. \u201cImputing for missing survey responses<\/a>\u201c. In Proceedings of the section on Survey Research Methods<\/em>, American Statistical Association.<\/p>\n\n\n\n

Fellegi, P.I., and D. Holt. 1976. \u201cA systematic approach to automatic edit and imputation\u201d.\u00a0Journal of the American Statistical Association<\/em>, Volume 71, Issue 353, Application Section: 17-35.<\/p>\n\n\n\r\n\t

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Weighting, estimation and sampling error evaluation<\/h2>\n\n\n\n

MEMOBUST \u2013 Handbook on Methodology of Modern Business Statistics
Weighting and Estimation<\/a><\/strong>
2014
MEETS ESSnet MEMOBUST<\/p>\n\n\n\n

Results of the SAE project
SAE \u2013 Small Area Estimation<\/a><\/strong>
2012
ESSnet SAE<\/p>\n\n\n\n

Riponderazione<\/a><\/strong>
2005
Note metodologiche, Istat<\/p>\n\n\n\n

Stime ed Errori<\/a><\/strong>
2005
Note metodologiche, Istat<\/p>\n\n\n\n

References<\/h3>\n\n\n\n

Falorsi, S., C. De Vitiis, L. Di Consiglio, C. Ceccarelli, A. Cutillo, e C. Rinaldelli. 2008. \u201cStrategia di campionamento e precisione delle stime\u201d. In \u201cL\u2019indagine europea sui redditi e le condizioni di vita delle famiglie (Eu-Silc)<\/em><\/a>\u201c. Metodi e Norme, N. 37. Roma: Istat.<\/p>\n\n\n\n

De Vitiis, C., e S. Falorsi. 2006. \u201cLa procedura di stima e la valutazione degli errori campionari\u201d. In \u201cIl sistema di indagini sociali multiscopo. Contenuti e metodologia delle indagini<\/em><\/a>\u201c. Metodi e Norme, N. 31. Roma: Istat.<\/p>\n\n\n\n

De Vitiis, C., e A. Pareto. 2006. \u201cStrategia di campionamento e livello di precisione delle stime\u201d. in \u201cL\u2019indagine campionaria sulle nascite: obiettivi, metodologia e organizzazione<\/em><\/a>\u201c. Metodi e Norme, N. 28. Roma: Istat.<\/p>\n\n\n\n

Rao, J.N.K. 2003. Small Area Estimation<\/em>. New York: J. Wiley & Sons.<\/p>\n\n\n\n

Cicchitelli G., A. Herzel, e G.E. Montanari. 1992. Il campionamento statistico<\/em>. Bologna: Il Mulino.<\/p>\n\n\n\n

Deville, J.C., and C.E. S\u00e4rndal. 1992. \u201cCalibration Estimators in Survey Sampling\u201d. Journal of the American Statistical Association<\/em>. Volume 87, Issue 418, Theory and Method: 376-382.<\/p>\n\n\n\n

S\u00e4rndal, C.E., B. Swensson, and J. Wretman. 1992. Model Assisted Survey Sampling. <\/em>New York: Springer-Verlag.<\/p>\n\n\n\n

Cochran, W.G. 1977. Sampling Techniques. <\/em>New York: J. Wiley & Sons.<\/p>\n\n\n\r\n\t

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<\/div>\r\n\t<\/div>\r\n\t<\/div><\/div><\/section>","protected":false},"excerpt":{"rendered":"

Data integration MEMOBUST \u2013 Handbook on Methodology of Modern Business StatisticsMicro-Fusion2014MEETS ESSnet MEMOBUST State of the art on statistical methodologies for data integrationMethodological developments2011ESSnet on […]<\/p>\n","protected":false},"author":6,"featured_media":0,"parent":2525,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-13187","page","type-page","status-publish","hentry"],"acf":[],"wpml_current_locale":"en_US","wpml_translations":[],"_links":{"self":[{"href":"https:\/\/www.istat.it\/en\/wp-json\/wp\/v2\/pages\/13187","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.istat.it\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.istat.it\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.istat.it\/en\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/www.istat.it\/en\/wp-json\/wp\/v2\/comments?post=13187"}],"version-history":[{"count":1,"href":"https:\/\/www.istat.it\/en\/wp-json\/wp\/v2\/pages\/13187\/revisions"}],"predecessor-version":[{"id":13188,"href":"https:\/\/www.istat.it\/en\/wp-json\/wp\/v2\/pages\/13187\/revisions\/13188"}],"up":[{"embeddable":true,"href":"https:\/\/www.istat.it\/en\/wp-json\/wp\/v2\/pages\/2525"}],"wp:attachment":[{"href":"https:\/\/www.istat.it\/en\/wp-json\/wp\/v2\/media?parent=13187"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}