ReGenesees: an Advanced R System for Calibration, Estimation and Sampling Error Assessment in Complex Sample Surveys

Andersson, C. 2009. Using Auxiliary Information in the Calculation of Order Statistics and Estimated Totals in a Large Scale Production Environment. In Proceedings of the 57th Session of the International Statistical Institute (ISI). Durban, South Africa, 16-22 August 2009. Available at: http://isi.cbs.nl/iamamember/CD8-Durban2009/index.htm (accessed May 2015).Search in Google Scholar

Andersson, C. and L. Nordberg. 1994. “A Method for Variance Estimation of Non-Linear Functions of Totals in Surveys - Theory and Software Implementation.” Journal of Official Statistics 10: 395-405.Search in Google Scholar

Bellhouse, D.R. 1985. “Computing Methods for Variance Estimation in Complex Surveys.” Journal of Official Statistics 1: 323-329.Search in Google Scholar

Caron, N. 1998. Le logiciel POULPE: aspects méthodologiques. In: INSEE: Actes des Journées de Méthodologie. Available at: http://jms.insee.fr/files/documents/1998/513_1-JMS1998_S3-1_CARON_P173-200.PDF (accessed May 2015).Search in Google Scholar

Chambers, J.M. and T.J. Hastie. 1992. Statistical Models in S. London: Chapman & Hall.Search in Google Scholar

Davidson, M. 2013. Scottish Population Surveys Centralised Weighting Project. Weighting project report of the Scottish Government. Available at: http://www.scotland.gov.uk/Topics/Statistics/About/Surveys/WeightingProjectReport (accessed August 2014).Search in Google Scholar

Davies, P. and P. Smith. 1999. Model Quality Report in Business Statistics. Volume II: Comparison of Variance Estimation Software and Methods, EUROSTAT. Available at: http://epp.eurostat.ec.europa.eu/portal/page/portal/quality/documents/MODEL%20QUALITY%20REPORT%20VOL%202.pdf (accessed August 2014).Search in Google Scholar

Deville, J.C. and C.-E. Särndal. 1992. “Calibration Estimators in Survey Sampling.” Journal of the American Statistical Association 87: 376-382.10.1080/01621459.1992.10475217Search in Google Scholar

Deville, J.C. 1999. “Variance Estimation for Complex Statistics and Estimators: Linearization and Residual Techniques.” Survey Methodology 25: 193-203.Search in Google Scholar

Estevao, V., M.A. Hidiroglou, and C.-E. Särndal. 1995. “Methodological Principles for a Generalized Estimation System at Statistics Canada.” Journal of Official Statistics 11: 181-204.Search in Google Scholar

EUROSTAT. 2002. Variance estimation methods in the European Union. Monographs of Official Statistics, Publications Office of the European Union, Luxembourg. Available at: http://epp.eurostat.ec.europa.eu/portal/page/portal/research_methodology/documents/MOS_20VARIANCE_ESTIMATION_202002.pdf (accessed August 2014).Search in Google Scholar

EUROSTAT. 2013. Handbook on precision requirements and variance estimation for ESS households surveys. Methodologies & Working papers, Publications Office of the European Union, Luxembourg. Available at: http://epp.eurostat.ec.europa.eu/cache/ITY_OFFPUB/KS-RA-13-029/EN/KS-RA-13-029-EN.PDF (accessed August 2014).Search in Google Scholar

Falorsi, P.D. and S. Falorsi. 1997. “The Italian Generalised Package for Weighting Persons and Families: Some Experimental Results with Different Non-Response Models.” Statistics in Transition 3: 357-381.Search in Google Scholar

Kalton, G. 1979. “Ultimate Cluster Sampling.” Journal of the Royal Statistical Society 142: 210-222.10.2307/2345081Search in Google Scholar

Kott, P.S. 2001. “The Delete-A-Group Jackknife.” Journal of Official Statistics 17: 521-526.Search in Google Scholar

Krewski, D. and J.N.K. Rao. 1981. “Inference from Stratified Sample: Properties of Linearization, Jackknife, and Balanced Repeated Replication Methods.” The Annals of Statistics 9: 1010-1019.10.1214/aos/1176345580Search in Google Scholar

Lumley, T. 2004. “Analysis of Complex Survey Samples.” Journal of Statistical Software 9: 1-19.10.18637/jss.v009.i08Search in Google Scholar

Lumley, T. 2010. Complex Surveys: A Guide to Analysis Using R. New York: John Wiley & Sons.10.1002/9780470580066Search in Google Scholar

Miller, D. and P.S. Kott. 2011. “Using the DAG Jackknife to Measure the Variance of an Estimator in the Presence of Item Nonresponse.” In Proceedings of the JSM (July 30-August 4, 2011) Alexandria, VA: American Statistical Association, 1121-1129. Available at: http://nass.usda.gov/Education_and_Outreach/Reports,_Presentations_and_Conferences/reports/conferences/JSM-2011/JSM-2011-Miller.pdf Search in Google Scholar

Mohl, C. 2007. “The Continuing Evolution of Generalized Systems at Statistics Canada for Business Survey Processing.” In Proceedings of the Third International Conference on Establishment Surveys (ICESIII) (June 18-21, 2007), American Statistical Association, 758-768. Available at: http://www.amstat.org/meetings/ices/2007/proceedings/ICES2007-000135.PDF Search in Google Scholar

Nieuwenbroek, N., R. Renssen, and L. Hofman. 2000. “Towards a Generalized Weighting System.” In Proceedings of the Second International Conference on Establishment Surveys (ICESII) (June 17-21, 2000), American Statistical Association, 667-676.Search in Google Scholar

Available at: http://www.amstat.org/meetings/ices/2000/proceedings/S09.pdf Search in Google Scholar

Ollila, P., Y. Berger, H.J. Boonstra, A. Davison, A. Laaksonen, K. Magg, R. Munnich, D. Ohly, S. Sardy, K. Sostra, and J. van den Brakel. 2004. “Evaluation of Software for Variance Estimation in Complex Surveys, DACSEIS project, Deliverables 4.1 and 4.2.” . Available at: https://www.uni-trier.de/fileadmin/fb4/projekte/SurveyStatisticsNet/Dacseis_Deliverables/DACSEIS-D4-1-4-2.pdf (accessed August 2014).Search in Google Scholar

Osier, G. 2009. “Variance Estimation for Complex Indicators of Poverty and Inequality Using Linearization Techniques.” Survey Research Methods 3: 167-195.Search in Google Scholar

R Core Team. 2014. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Available at: http://www.R-project.org (accessed August 2014).Search in Google Scholar

Rust, K. and G. Kalton. 1987. “Strategies for Collapsing Strata for Variance Estimation.” Journal of Official Statistics 3: 69-81.Särndal, C.-E., B. Swensson, and J. Wretman. 1989. “The Weighted Residual Technique for Estimating the Variance of the General Regression Estimator of the Finite Population Total.” Biometrika 76: 527-537. Doi: http://dx.doi.org/10.1093/biomet/76.3.527.10.1093/biomet/76.3.527Search in Google Scholar

Särndal, C.-E. 2007. “The Calibration Approach in Survey Theory and Practice.” Survey Methodology 33: 99-119.Search in Google Scholar

Sautory, O. 1993. La macro CALMAR: Redressement d’un Echantillon par Calage sur Marges. Document de travail de la Direction des Statistiques Démographiques et Sociales, no. F9310. Available at: http://www.insee.fr/fr/methodes/outils/calmar/doccalmar.pdf (accessed May 2015).Search in Google Scholar

Scannapieco, M., D. Zardetto, and G. Barcaroli. 2007. La Calibrazione dei Dati con R: una Sperimentazione sull’Indagine Forze di Lavoro ed un Confronto con GENESEES/ SAS. Collana Contributi, 4, Istat, Italy. Available at: http://www3.istat.it/dati/pubbsci/contributi/Contributi/contr_2007/2007_4.pdf (accessed August 2014).Search in Google Scholar

Scottish Government. 2013a. Scottish Household Survey - Methodology and Fieldwork Outcomes 2012. Available at: http://www.scotland.gov.uk/Resource/0044/00443332.pdf (accessed August 2014).Search in Google Scholar

Scottish Government. 2013b. Scottish Health Survey 2012 - Volume 2 Technical Report. Available at: http://www.scotland.gov.uk/Resource/0043/00434643.pdf (accessed August 2014).Search in Google Scholar

Scottish Government. 2014. Scottish Crime and Justice Survey 2012/13 - Technical Report. Available at: http://www.scotland.gov.uk/Resource/0044/00445791.pdf (accessed August 2014).Search in Google Scholar

UNECE. 2013a. Generic Statistical Information Model (GSIM), version 1.1. Available at: http://www1.unece.org/stat/platform/pages/viewpage.action?pageId¼59703371 (accessed August 2014).Search in Google Scholar

UNECE. 2013b. Common Statistical Production Architecture (CSPA), version 1.0. Available at: http://www1.unece.org/stat/platform/display/CSPA/CSPAþv1.0 (accessed August 2014).Search in Google Scholar

UNECE. 2013c. Generic Statistical Business Process Model (GSBPM), version 5.0. Available at: http://www1.unece.org/stat/platform/display/metis/TheþGenericþStatisticalþBusinessþProcessþModel (accessed August 2014).Search in Google Scholar

Vanderhoeft, C. 2001. Generalised Calibration at Statistics Belgium. SPSS Module g-CALIB-S and Current Practices. Statistics Belgium Working Paper no. 3. Available at: http://statbel.fgov.be/nl/binaries/paper03%5B1%5D_tcm325-35412.pdf (accessed May 2015).Search in Google Scholar

Wilkinson, G.N. and C.E. Rogers. 1973. Symbolic Description of Factorial Models for Analysis of Variance. Journal of the Royal Statistical Society. Series C (Applied Statistics) 22: 392-399.10.2307/2346786Search in Google Scholar

Wolter, K.M. 2007. Introduction to Variance Estimation, Second Edition. New York: Springer.Search in Google Scholar

Woodruff, R.S. 1952. Confidence Intervals for Medians and Other Position Measures. Journal of the American Statistical Association 47: 635646. Doi: http://dx.doi.org/10.1080/01621459.1952.1048344310.1080/01621459.1952.10483443Search in Google Scholar

Woodruff, R.S. 1971. “A Simple Method for Approximating the Variance of a Complicated Estimate.” Journal of the American Statistical Association 66: 411-414. Doi: http://dx.doi.org/10.1080/01621459.1971.10482279.10.1080/01621459.1971.10482279Search in Google Scholar

Zardetto, D. 2012. EVER: Estimation of Variance by Efficient Replication. R package version 1.2, Istat, Italy. Available at: http://cran.r-project.org/web/packages/EVER/index.html (accessed August 2014).Search in Google Scholar

Zardetto, D. 2014. ReGenesees: R Evolved Generalized Software for Sampling Estimates and Errors in Surveys. R package version 1.6, Istat, Italy. Available at: https://joinup.ec.europa.eu/software/regenesees/description (accessed August 2014).Search in Google Scholar

Zardetto, D. and R. Cianchetta. 2014. ReGenesees.GUI: a TclTk Interface for the ReGenesees Package. R package version 1.6, Istat, Italy. Available at: https://joinup.ec.europa.eu/software/regenesees/description (accessed August 2014). Search in Google Scholar