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Research papers and presentations sponsored by MRDC

Beaumont, J.-F. (2009). A new approach to weighting and inference for samples drawn from a finite populaton. Workshop presented at the Annual Meetings of the Statistical Society of Canada, Vancouver, May 31–June 3, 2009.

Beaumont, J.-F. (2009). Specifications for a ridge calibration SAS macro. Internal report, Statistical Research and Innovation Division, Statistics Canada.

Beaumont, J.-F. (2010). Bootstrap généralisé pour un plan stratifié à trois degrés avec échantillonnage aléatoire simple sans remise à chaque degré. Rapport interne, Division de la recherche et de l’innovation en statistique, Direction de la méthodologie.

Beaumont, J.-F., and Bissonnette, J. (2010). Variance estimation under composite imputation: The methodology behind SEVANI. Submitted for publication.

Beaumont, J.-F., and Bocci, C. (2009). A practical bootstrap method for testing hypotheses from survey data.Survey Methodology, vol. 35, no 1, 25-35.

Beaumont, J.-F., and Bocci, C. (2009). Variance estimation when donor imputation is used to fill in missing values.Canadian Journal of Statistics, vol. 37, no 3, 400-416.

Beaumont, J.-F., and Charest, A.-S. (2010). Bootstrap variance estimation with survey data when estimating model parameters. Submitted for publication.

Beaumont, J.-F., Haziza, D. and Bocci, C. (2010). On variance estimation under auxiliary value imputation in sample surveys. Statistica Sinica (to appear).

Beaumont, J.-F., Haziza, D. and Ruiz-Gazen, A. (2009). A unified approach to robust estimation in finite population sampling. Proceedings of the 57th Session of the International Statistical Institute, Durban, South Africa.

Beaumont, J.-F., and Patak, Z. (2010). On the generalized bootstrap for sample surveys with special attention to Poisson sampling. Submitted for publication.

Bérubé, J., and Fortier, S. (2009). PROC TSRAKING: An in-house SAS® procedure for balancing time series. Proceedings of the Business and Economic Statistics Section, American Statistical Association.

Binder, D., and Roberts, G. (2009). Design- and model-based inference for model parameters. Handbook of Statistics–Sample Surveys: Inference and Analysis, (Eds., D. Pfeffermann and C.R. Rao), volume 29B, chapter 24, North-Holland.

Bocci, C., and Beaumont, J.-F. (2009). Synthetic data creation for the Cross National Equivalent File. Proceedings: Symposium 2009, Longitudinal Surveys: from Design to Analysis. Statistics Canada, Ottawa.

Carrillo-Garcia, I., Chen, J. and Wu, C. (2010a). The Pseudo-GEE approach to the analysis of longitudinal surveys. Paper submitted for publication.

Carrillo-Garcia, I., Chen, J. and Wu, C. (2010b). Pseudo-GEE approach to analyzing longitudinal surveys under imputation for missing responses. Submitted for publication.

Carrillo-Garcia, I., and Kovačević, M. (2009). Estimation of relative risks for population projections using microsimulations. Proceedings of the Survey Methods Section, Statistical Society of Canada.

Chambers, R., Chipperfield, J., Davis, W. and Kovačević, M. (2009). Inference based on estimating equations and probability-linked data. Submitted for publication.

Chen, Z., and Mantel, H. (2009). Analysis of binary data from a complex survey with misclassification in an ordinal covariate. Proceedings of the Survey Methods Section, Statistical Society of Canada.

Chen, Z.G., and Wu, K.H. (2009). Benchmarking via the regression method with working error-models. Submitted for publication.

Collins, K. (2009). Spatial modeling of geocoded crime data. Proceedings of the Survey Methods Section, Statistical Society of Canada.

Estevao, V., and Särndal, C.-E. (2009). A new face on two-phase sampling with calibration estimators. Survey Methodology, vol. 35, no 1, 3-14.

Estevao, V., You, Y. and Hidiroglou, M.A. (2009). Small area estimation. Area-level estimation based on Fay-Herriot model. Internal Statistics Canada document.

Ferland M., and Fortier, S. (2009). Recent developments in Statistics Canada’s time series processing system: Transition to SAS® PROC X12. Proceedings of the Business and Economics Statistics Section. Alexandria, VA: American Statistical Association.

Fortier, S. (2009). Assisted forecasting for linking non-overlapping time series. Presented at F2009 Business Forecasting Conference in Cary, NC, June 1-2, 2009.

Fortier, S., and Quenneville, B. (2009). Reconciliation and balancing of accounts and time series, from concepts to a SAS Procedure. Proceedings of the Business and Economic Statistics Section, American Statistical Association.

Frolova, O., Fillion, J.-M. and Tambay, J.-L. (2009). Confid2: Statistics Canada’s new tabular data confidentiality software. Proceedings of the Survey Methods Section, Statistical Society of Canada.

Gagné, C., and Quenneville, B. (2009). Testing time series data compatibility for benchmarking. Proceedings of the Business and Economic Statistics Section, American Statistical Association.

Hidiroglou, M.A. (2009). Different Applications of Calibration. Invited paper presented at the Atelier en Sondage à l’Honneur de Jean-Claude Deville, Neuchâtel, France, June 26, 2009.

Hidiroglou, M.A. (2010). Développements présents pour l’estimation de petites régions à Statistique Canada. Invited paper presented at the Sixième Colloque francophone sur les Sondages, Tangier, Morocco, March 23 to 25, 2010.

Hidiroglou, M.A., and Huang, R. (2009). Design consistent estimators for a mixed linear model fitted to survey data. Submitted for publication.

Hidiroglou, M.A., and Yung, W. (2009). Workshop on Business Survey Methods. Three day course given at the 57th Session of the International Statistical Institute, Durban, South Africa.

Hidiroglou M.A., and Lavallée, P. (2009). Sampling and estimation in Business Surveys. Handbook of Statistics–Sample Surveys: Inference and Analysis, (Eds., D. Pfeffermann and C.R. Rao), volume 29A, chapter 17, North-Holland.

Hidiroglou, M.A., and Patak, Z. (2009). An application of small area estimation techniques to the Canadian Labour Force Survey. Proceedings of the Survey Methods Section, Statistical Society of Canada.

Hidiroglou, M.A., and Yung, W. (2009). Workshop on Business Survey Methods. Three day course given at the 57th Session of the International Statistical Institute, Durban, South Africa.

Kovačević, M. (2009). Challenges in methodology of microsimulation models. Presentation made to the Statistics Canada Advisory Committee on Statistical Methods, May 2009.

Kovačević, M. (2009). Regression analysis of record-linked survey data. Presented at the Annual Meetings of the Statistical Society of Canada, Vancouver, May 31–June 3, 2009.

Liu, Y., Kovačević, M., Saidi, A. and Zumbo, B. (2009). Challenges in analyzing national longitudinal data: Cohort-sequential design and the application of sampling weights when using Structural Equation Modeling (SEM). Presented at the Annual Meetings of the Statistical Society of Canada, Vancouver, May 31–June 3, 2009.

Mach, L. (2009). Coordination of Statistics Canada livestock and crop surveys: Comparison of the current method and a method based on sequential SRSWOR. Internal report, Statistics Canada.

Mantel, H., and Giroux, S. (2009). Variance Estimation in Complex Surveys with One PSU per Stratum. Proceedings of the Survey Research Methods Section, American Statistical Association.

Martin Romero, B., Meszaros, P., Elliot, D. and McLaren, C. (2009). Issues in trend-cycle estimates for official statistics. Proceedings of the Business and Economic Statistics Section, American Statistical Association.

Patak, Z., and Beaumont, J.-F. (2009). Generalized bootstrap for Prices surveys. Proceedings of the 57th Session of the International Statistical Institute, Durban, South Africa.

Pierre, F., and Saidi, A. (2009). BHLMSAS_V0: Nouveau “logiciel” pour l’estimation de la variance par les méthodes de reechantillonnage dans les modèles multiniveaux appliqués aux données d’enquêtes. Submitted for publication.

Quenneville, B. (2009). Gain and phase shift of the annual difference operator. Internal report, Statistics Canada.

Quenneville, B., and Fortier, S. (2010). Restoring accounting constraints in time series–Methods and software for a statistical agency. To be submitted for publication.

Quenneville, B., Fortier, S. and Gagné, C. (2009a). A nonparametric iterative smoothing method for benchmarking and temporal distribution. Computational Statistics and Data Analysis, vol. 53, 3386-3396.

Quenneville, B., Fortier, S. and Gagné, C. (2009b). Illustration and convergence property of the nonparametric iterative smoothing method for benchmarking and temporal distribution. Proceedings of the Business and Economic Statistics Section, American Statistical Association.

Quenneville, B., Picard, F. and Fortier, S. (2009). Interpolation, benchmarking and temporal distribution with natural splines. Proceedings of the Business and Economic Statistics Section, American Statistical Association.

Rao, J.N.K., Hidiroglou, M.A., Kovačević, M. and Yung, W. (2009). Role of Weights in Descriptive and Analytical Inferences from Survey Data: An Overview. Proceedings of the 57th Session of the International Statistical Institute, Durban, South Africa.

Roberts, G., and Binder, D. (2009) Analyses based on combining similar information from multiple surveys. Proceedings of the Survey Research Methods Section, American Statistical Association.

Rubin-Bleuer, S. (2009a). SAE for SEPH 2009. Internal report, Statistical Research and Innovation Division, Statistics Canada.

Rubin-Bleuer, S. (2009b). Implementation notes for robust small area estimation. Internal report, Statistical Research and Innovation Division, Statistics Canada.

Rubin-Bleuer, S. (2010). The Proportional Hazards Model for Survey Data from Independent and Clustered Super-populations. Internal report, Statistical Research and Innovation Division, Statistics Canada.

Rubin-Bleuer, S., Dochitoiu, C. and Rao, J.N.K. (2009a). Bootstrap estimation of the mean-squared error in small area level models for business data. Proceedings of the SAE2009 Conference in Small Area Estimation, June 21–July 1, 2009, Elche, Spain.

Rubin-Bleuer, S., Dochitoiu, C. and Rao, J.N.K. (2009b). Bootstrap estimation of the mean-squared error in small area level penalized spline models. Internal report, Statistical Research and Innovation Division, Statistics Canada.

Simard, M. (2009). Development of a real time remote access infrastructure at Statistics Canada. Paper presented at the Joint UNECE/Eurostat Work Session on Statistical Data Confidentiality, Bilbao, Spain, December 2-4, 2009.

Statistics Canada (2009a). Quality guidelines for seasonal adjustment and trend-cycle estimation. Quality Guidelines, 5th Edition, Statistics Canada.

Statistics Canada (2009b). Quality guidelines on benchmarking and related techniques. Quality Guidelines, 5th edition, Statistics Canada.

Statistics Canada (2009c). Quality guidelines on data analysis and presentation. Quality Guidelines, 5th edition, Statistics Canada.

Tambay, J.-L. (2009a). Confidentiality of tabular data for businesses. Internal note, April 13, 2009, Statistics Canada.

Tambay, J.-L. (2009b). Rules for analytical outputs involving business data at RDCs. Internal note, June 15, 2009, Statistics Canada.

Tambay, J.-L. (2009c). A hybrid method for the disclosure control of tables of magnitude for administrative data. Internal note, Sept. 2, 2009, Statistics Canada.

Yiptong, J., and Houle, P. (2009). A framework for research on the effects of collection modes on the quality of survey data. Internal report, Methodology Branch, Statistics Canada.

You, Y. (2009). Area level modeling approaches to small area estimation with applications. Proceedings of the Survey Methods Section, Statistical Society of Canada.

You, Y. (2010). Small area estimation using the Fay-Herriot model with difference model variance estimation methods. Working Paper (in progress).

Yung, W., Rubin-Bleuer, S. and Landry, S. (2009). Small area estimation: A business survey application. Proceedings of the Survey Methods Section, Statistical Society of Canada.