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Papers published or accepted
[20] YUNG, W. & HAZIZA, D.
(2011). Comment on the paper "Bias-adjustment and calibration of jackknife
variance estimator in the presence of non-response." To appear in
Journal of Statistical Planning and Inference.
[19] CHAUVET, G. & HAZIZA,
D. (2012). Fully efficient estimation of coefficients of correlation in the
presence of imputed survey data. To appear in the Canadian Journal of
Statistics.
[18] HAZIZA, D., HIDIROGLOU,
M.A. & RAO, J.N.K. (2011). Comparisons of variance estimators in two-phase
sampling: an empirical investigation. Pakistan
Journal of Statistics, 27, 477-492 (Invited submission for a
special issue in honour of Ken Brewer).
[17] CHAUVET, G., DEVILLE J.C.
& HAZIZA, D. (2011). On balanced random
imputation in surveys. Biometrika, 98, 459-471.
[16] BEAUMONT, J.-F., HAZIZA,
D. & BOCCI, C. (2011). Variance
estimation under auxiliary value imputation. Statistica Sinica, 21,
515-538.
[15] HAZIZA, D. & RAO,
J.N.K. (2010). Variance estimation in two-stage sampling under imputation for
missing survey data. Journal of Statistical Theory and Practice, 4,
827-848 (Invited submission for H.C. Gupta memorial special issue).
[14] TILLÉ, Y. & HAZIZA, D. (2010). An
interesting property of the entropy of some sampling designs. Survey
Methodology, 36, 229-231.
[13] HAZIZA, D., CHAUVET, G. & DEVILLE J.C. (2010).
A note on sampling and estimation in the presence of cut-off sampling. Australian
and New Zealand Journal of Statistics, 52, 303-319.
[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. Handbook of Statistics, Volume 29, Sample Surveys:
Theory Methods and Inference, Editors: C.R. Rao and D. Pfeffermann, 215-246.
[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
DONGMO JIONGO, V., HAZIZA, D.
& DUCHESNE, P. (2011). Controlling the bias of robust small area
estimators. In revision for Biometrika.
BEAUMONT, J.-F., HAZIZA, D.
& RUIZ-GAZEN, A. (2011). A unified approach to robust estimation in finite
population sampling. In revision for Biometrika.
CHAPUT, H., CHAUVET, G, HAZIZA, D., SOLARD, J. & SALEMBIER, L.
(2011). Joint imputation procedures for categorical
variables with application to the French Wealth Survey. In revision for the Journal
of the Royal Statistical Society, Series C.
HAZIZA, D. & PICARD, F.
(2009). On doubly robust point and variance estimation in the presence of
imputed data. Submitted after the second revision for the Canadian Journal
of Statistics.
HAZIZA, D., NAMBEU, C.-O.
& CHAUVET, G. (2010). Single imputation
procedures when the population contains a large amount of zeroes. In revision
for Computational Statistics and Data Analysis.
KIM, J.K. & HAZIZA, D.
(2010) Doubly robust inference with missing survey data. Submitted.
CHAUVET, G., DEVILLE J.C.
& HAZIZA, D. (2010), Adapting the Cube algorithm for balanced imputation in
surveys. Submitted.
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, inÉchantillonnage et méthodes d’enquêtes, Ardilly, P. Editor, 189-196. Dunod.
Conference proceedings
BOISTARD, H., CHAUVET, G.
& HAZIZA, D. (2012). Consistance sous un modèle de réponse de la fonctiond
de répartition estimée en présence de données manquantes. To appear in the
Proceedings of the JMS 2012.
HAZIZA, D., DONGMO JIONGO, V.
& DUCHESNE, P. (2012). Triple robustesse en présence de données imputées
dans les enquêtes. To appear in the Proceedings of the JMS 2012.
KIM, J.K. & HAZIZA, D.
(2010). Doubly robust inference with missing data in survey sampling. Proceedings
of the Survey Research Methods, American Statistical Association.
HAZIZA, D. (2010). Resampling
methods for variance estimation in the presence of missing survey data. Proceedings
of the conference of the annual conference of the Italian Statistical Society.
BEAUMONT, J.-F., HAZIZA, D.
& RUIZ-GAZEN, A. (2009). A unified approach
to robust estimation in finite population sampling. Proceedings of the
coference of the International Statistical Institute. Durbin. South Africa.
HAZIZA, D. & PICARD, F. (2008), Jackknife variance estimation in the
presence of imputed data. Proceedings of the 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. Proceedings of the 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, Proceedings of the 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, Proceedingsof 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, Proceedingsof 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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