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Papers published or accepted
[15] TILLÉ, Y. & HAZIZA, D. (201X). An interesting property of the entropy of some sampling designs. Ta appear in Survey Methodology.
[14] HAZIZA, D., CHAUVET, G. & DEVILLE J.C. (201X), A note on sampling and estimation in the presence of cut-off sampling.To appear in Australian and New Zealand Journal of Statistics.
[13] BEAUMONT, J.-F., HAZIZA, D. & BOCCI, C. (201X), Variance estimation under auxiliary value imputation. To appear in Statistica Sinica.
[12] HAZIZA, D., THOMPSON, K.J., YUNG, W. (2010), The effect of nonresponse adjustments on variance estimation. Survey Methodology, 36, 35-43.
[11] HAZIZA, D. (2009), Imputation and inference in the presence of missing data. À paraître dans Handbook of Statistics, Volume 29, Sample Surveys: Theory Methods and Inference, Editors: C.R. Rao and D. Pfeffermann.
[10] HIDIROGLOU, M.A., RAO, J.N.K. & HAZIZA, D. (2009), Variance estimation in two phase sampling. Australian and New Zealand Journal of Statistics, 51, 127-141.
[9] HAZIZA, D., MECATTI, F. & 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. (2007), Variance estimation for a ratio in the presence of imputed data. Survey Methodology, 33, 159-166.
[7] HAZIZA, D. & KUROMI, G. (2007), Handling item nonresponse in surveys. Journal of Case Studies in Business, Industry and Government statistics, 1, 102-118.
[6] HAZIZA, D. & BEAUMONT, J-F. (2007), On the construction of imputation classes in surveys. International Statistical Review, 75, 25-43.
[5] HAZIZA, D. & 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. & 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. & 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. & 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
CHAUVET, G., DEVILLE J.C. & HAZIZA, D. (2010), Adapting the Cube algorithm for balanced imputation in surveys. Submitted.
HAZIZA, D. NAMBEU, C.-O. & CHAUVET, G. (2010). Single imputation procedures when the population contains a large amount of zeroes. Submitted.
KIM, J.K. & HAZIZA, D. (2010) Doubly robust inference with missing survey data. Submitted.
HAZIZA, D. & RAO, J.N.K. (2010). Variance estimation in two-stage sampling under imputation for missing survey data. Invitation à soumettre à Journal of Statistical THeory and Practice (H.C. Gupta memorial special issue).
HAZIZA, D. & PICARD, F. (2009). On doubly robust point and variance estimation in the presence of imputed data. Submitted.
CHAUVET, G., DEVILLE J.C. & HAZIZA, D. (2009) On balanced random imputation in surveys. Submitted after revision to Biometrika.
CHAUVET, G. & HAZIZA, D. (2010) Fully efficient estimation of coefficients of correlation in the presence of imputed data.
BEAUMONT, J.-F., HAZIZA, D. & RUIZ-GAZEN, A. (2009). A unified approach to robust estimation in finite population sampling.
CHAUVET, G. & HAZIZA, D. (2009). Imputation or preserving relationships.
Books
GUILBERT, P., HAZIZA, D., RUIZ-GAZEN, A.M. & TILLÉ, Y, (éditeurs). (2008). Méthodes de Sondages. Dunod.
Book chapters
HAZIZA, D. & 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. & 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.
Conference proceedings
BEAUMONT, J.-F., HAZIZA, D. & RUIZ-GAZEN, A. (2009). A unified approach to robust estimation in finite population sampling. À parître dans les actes la conference de l’ISI.
HAZIZA, D. & PICARD, F. (2008), Jackknife variance estimation in the presence of imputed data. À paraître dans les actes du Workshop on Calibration and Estimation in Surveys.
HAZIZA, D., KUROMI, G. & BÉRUBÉ, J. (2007), Sampling and estimation in the the presence of tax data in business surveys. Proceedings of the International Conference on Establishment Surveys II, CD-ROM.
HAZIZA, D. (2006), Estimation en présence de données fiscales dans les enquêtes économiques, Actes des Journées de Statistique de la Société Française de Statistique, CD-ROM.
HAZIZA, D. & RAO, J. N. K. (2005), Une approche par modèle de non-réponse pour l’inférence en présence de données imputées, Actes des Journées de Méthodologie Statistique 2005. Disponible sur la page http://jms.insee.fr/site/.
HAZIZA, D., MECATTI, F. & 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.
BEAUMONT, J-F, HAZIZA, D., MITCHELL, C. & RANCOURT, E. (2003), New tools at Statistics Canada to measure and evaluate the impact of nonresponse and imputation, Proceedings of the 2003 FCSM conference.
HAZIZA, D. & 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. & 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.
Published in 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. & 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.
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