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Département de mathématiques et de statistique |
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David Haziza |
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Publications |
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Refereed papers
11. Hidiroglou, M.A., Rao, J.N.K. and Haziza, D. (200X), Variance estimation in two phase sampling. To appear in Australian and New Zealand Journal of Statistics.
10. De Waal, T. and Haziza, D. (200X), Statistical editing and imputation. To appear in Handbook of Statistics, Volume 29, Sample Surveys: Theory Methods and Inference, Editors: C.R. Rao and D. Pfeffermann.
9. Haziza, D., Mecatti, F. and Rao, J.N.K. (2008), Approximate variance estimators under the Rao-Sampford design. Metron, 66, 91-108 (Invited submission for a special issue in survey sampling)
8. Haziza, D. and Kuromi, G. (2007), Handling item nonresponse in surveys. Journal of Case Studies in Business, Industry and Government statistics, 2, 102-118.
7. Haziza, D. (2007), Variance estimation for a ratio in the presence of imputed data. Survey Methodology, 33, 159-166.
6. Haziza, D. and Beaumont, J-F. (2007), On the construction of imputation classes in surveys. International Statistical Review, 75, 25-43.
5. Haziza, D. and Rao, J. N. K. (2006), A nonresponse model approach to inference under imputation for missing survey data, Survey Methodology, 32, 53-64.
4. Haziza, D. (2005), Inférence en présence d’imputation simple dans les enquêtes: un survol, Journal de la Société Française de Statistique, 146, 69-118.
3. Haziza, D. and Rao, J. N. K. (2005), Inference for domains under imputation for missing data, The Canadian Journal of Statistics, 33, 149-161.
2. Aragon, Y., Haziza, D. and Ruiz-Gazen, A. (2005), Les simulations dans l'enseignement des sondages avec le logiciel Genesis sous SAS et la bibliothèque Sondages sous R, Modulad, 32, 86-91.
1. Haziza, D. and Rao, J. N. K. (2003), Inference for population means under unweighted imputation for missing survey data, Survey Methodology, 29, 81-90.
Papers submitted or in preparation
Haziza, D. and Kuromi, G. (2008), Simulation studies in the presence of imputed data in surveys.
Haziza, D. and Rao, J.N.K. (2008), Inference in two-stage cluster sampling under imputation for missing survey data.
Thompson, K.J., Yung, W and Haziza, D. (2007), The effect of nonresponse adjustments on variance estimation.
Haziza, D. , and Picard F. (2007), On jackknife variance estimation in the presence of imputed data.
Haziza, D. , Chauvet, G. and Deville, J-C. (2007), Estimation in the presence of cut-off sampling.
Haziza, D. and Beaumont, J-F. (2006), Simplified variance estimation in two-phase sampling.
Beaumont, J-F., and Haziza, D. and Bocci, C. (2007), Variance estimation under auxiliary value imputation.
Chapters of books
Haziza, D. and Beaumont, J-F. (2005), Estimation simplifiée de la variance dans le cas de l’échantillonnage à deux phases in Méthodes d’enquêtes et sondages, Lavallée, P. and Rivest, L.P., editors, 372-377. Dunod.
Haziza, D. and Rao, J. N. K. (2004). Inférence pour des statistique bivariées en présence d’imputation dans le cas d’enquêtes stratifiées à degrés multiples, in Échantillonnage et méthodes d’enquêtes, Ardilly, P. Editor, 189-196. Dunod.
Contribution to conference proceedings
Haziza, D. and Picard, F. (2008), Jackknife variance estimation in the presence of imputed data. To appear in the proceedings of the Workshop on Calibration and Estimation in Surveys.
Haziza, D., Kuromi, G. and Bérubé, J. (2007), Sampling and estimation in the the presence of tax data in business surveys. To appear in the Proceedings of the Internation Conference on Etablishment Surveys III.
Haziza, D. (2006), Estimation en présence de données fiscales dans les enquêtes économiques, Actes des Journées de Statistique de la Société Française de Statistique.
Haziza, D. and Rao, J. N. K. (2005), Une approche par modèle de non-réponse pour l’inférence en présence de données imputées, To appear in Les Actes des Journées de Méthodologie Statistique 2005.
Haziza, D., Mecatti, F. and Rao, J. N. K. (2004), Comparison of variance estimators under Rao-Sampford method: a simulation study. Proceedings of the Survey Methods Section, American Statistical Association, CD-Rom.
Haziza, D. (2003), GENESIS, a methodological and pedagogical tool, Proceedings of the Survey Methods Section, American Statistical Association, CD-Rom.
Haziza, D. and Rao, J. N. K. (2001), Inference for regression coefficients under imputation for missing data, Proceedings of the Survey Methods Section, Statistical Society of Canada, 61-66.
Haziza, D. and Rao, J. N. K. (2001), Model-assisted approach to inference for totals in cluster sampling under imputation for missing data, Proceedings of the Survey Methods Section, American Statistical Association, CD-Rom.
Haziza, D., Chow, O., Charbonnier, C. and Beaumont, J.F. (2001), Construction of Imputation Cells in the Canadian Labour Force Survey, Proceedings of Statistics Canada Symposium 2001, CD-Rom.
Haziza, D. and Rao, J. N. K. (2000), Inference for domain means under imputation for missing data, Proceedings of the Survey Methods Section, Statistical Society of Canada, 197-202.
Contributions to the Imputation Bulletin
Haziza, D. (2007). Frameworks for variance estimation in the presence of imputed data, The Imputation Bulletin, vol 7, no 1.
Haziza, D. (2006). Simulation studies in the presence of nonresponse and imputation, The Imputation Bulletin, vol 6, no 1.
Haziza, D. et Rancourt, E. (2004). Variance estimation under the two-phase imputation model approach, The Imputation Bulletin, vol 4, no 1.
Haziza, D. (2003). Proc MI and Proc MIANALYZE in SAS, The Imputation Bulletin, vol 3, no 2.
Haziza, D. (2002). Distortion of distributions, The Imputation Bulletin, vol 2, no 2.
Haziza, D. (2002). GENESIS, The Imputation Bulletin, vol 2, no 2.
Haziza, D. (2002). Imputation classes, The Imputation Bulletin, vol 2, no 1.
Haziza, D. (2001). The risks of imputation, The Imputation Bulletin, vol 1, no 2.
Haziza, D. (2001). Why do we impute?, The Imputation Bulletin, vol 1, no 1.
Presentations to conferences and seminars
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