D. Haziza

发表

Controlling the bias of robust small-area estimators

P. Duchesne, V. D. Jiongo, D. Haziza, 2013 .

Construction of Weights in Surveys: A Review

D. Haziza, J. Beaumont, 2017 .

A unified approach to robust estimation in finite population sampling

A. Ruiz-Gazen, D. Haziza, J. Beaumont, 2013 .

A method of determining the winsorization threshold, with an application to domain

D. Haziza, J. Beaumont, Cyril Favre Martinoz, 2015 .

Multiply robust imputation procedures for the treatment of item nonresponse in surveys

Sixia Chen, David Haziza, D. Haziza, 2017 .

Doubly robust inference with missing data in survey sampling

David Haziza, Jae Kwang Kim, D. Haziza, 2014 .

Doubly Robust Inference for the Distribution Function in the Presence of Missing Survey Data

D. Haziza, H. Boistard, G. Chauvet, 2016 .

Multiply robust imputation procedures for zero-inflated distributions in surveys

D. Haziza, Sixia Chen, 2017, Metron.

Handling Item Non Response in Surveys

D. Haziza, Gordon Kuromi, 2014 .

Variance Estimation in Two-stage Cluster Sampling under Imputation for Missing Data

J. Rao, D. Haziza, 2010 .

Doubly robust imputation procedures for finite population means in the presence of a large number of zeros

D. Haziza, G. Chauvet, C. Nambeu, 2014 .

New Tools at Statistics Canada to Measure and Evaluate the Impact of Nonresponse and Imputation

D. Haziza, J. Beaumont, C. Mitchell, 2003 .

PROPENSITY WEIGHTING FOR SURVEY NONRESPONSE THROUGH MACHINE LEARNING

D. Haziza, D. Causeur, Brigitte Gelein, 2018 .

Model-assisted estimation in high-dimensional settings for survey data

D. Haziza, C. Goga, Mehdi Dagdoug, 2020, Journal of applied statistics.

Imputation procedures in surveys using nonparametric and machine learning methods: an empirical comparison

D. Haziza, C. Goga, Mehdi Dagdoug, 2020, 2007.06298.

Statistical inference from finite population samples: A critical review of frequentist and Bayesian approaches

D. Haziza, J. Beaumont, 2022, Canadian Journal of Statistics.

Robust Inference in Two‐phase Sampling Designs with Application to Unit Nonresponse

D. Haziza, J. Beaumont, C. Favre-Martinoz, 2016 .

Inference for Population Means Under Unweighted Imputation for Missing Survey Data

J. Rao, D. Haziza, 2003 .

Model-Assisted Approach to Inference for Totals in Cluster Sampling under Imputation for Missing Data

D. Haziza, 2001 .

A semiparametric multiply robust multiple imputation method for causal inference

D. Haziza, Sixia Chen, Benjamin Gochanour, 2022, Metrika.

A survey of bootstrap methods in finite population sampling

C. Léger, D. Haziza, Z. Mashreghi, 2016 .

An Interview with Chris Skinner

Paul A. Smith, D. Haziza, 2019, International Statistical Review.

Strategies for Selecting a Follow-up Sample of onrespondents in Business Surveys

D. Haziza, J. Beaumont, M. Hidiroglou, 2014 .

A unified framework of multiply robust estimation approaches for handling incomplete data

D. Haziza, Sixia Chen, 2022, Comput. Stat. Data Anal..

Comments on the paper “Bias-adjustment and calibration of jackknife variance estimator in the presence of non-response”

D. Haziza, W. Yung, 2012 .

VARIANCE ESTIMATION IN TWO‐PHASE SAMPLING

J. Rao, D. Haziza, M. Hidiroglou, 2009 .

Clarifying Some Aspects of Variance Estimation in Two-Phase Sampling

D. Haziza, J. Beaumont, A. Béliveau, 2015 .

Evaluation of some approximate variance estimators under the Rao-Sampford unequal probability sampling design

David Haziza, J. N. K. Rao, Fulvia Mecatti, 2008 .

Survey weighted estimating equation inference with nuisance functionals

David Haziza, Changbao Wu, Puying Zhao, 2020, Journal of Econometrics.

Variance estimation procedures in the presence of singly imputed survey data: a critical review

D. Haziza, Audrey-Anne Vallée, 2020, Japanese Journal of Statistics and Data Science.

Recent Developments in Dealing with Item Non‐response in Surveys: A Critical Review

Sixia Chen, David Haziza, D. Haziza, 2018, International Statistical Review.

Doubly robust point and variance estimation in the presence of imputed survey data

D. Haziza, F. Picard, 2012 .

Imputation and Inference in the Presence of Missing Data

David Haziza, D. Haziza, 2009 .

On balanced random imputation in surveys

J. Deville, D. Haziza, G. Chauvet, 2011 .

A Review of Multiply Robust Estimation with Missing Data

Sixia Chen, David Haziza, D. Haziza, 2021, Emerging Topics in Statistics and Biostatistics.

Multiply Robust Bootstrap Variance Estimation in the Presence of Singly Imputed Survey Data.

Sixia Chen, David Haziza, Zeinab Mashreghi, 2020, Journal of survey statistics and methodology.

Multiply robust nonparametric multiple imputation for the treatment of missing data

Sixia Chen, David Haziza, D. Haziza, 2019, Statistica Sinica.

Model-Assisted Estimation Through Random Forests in Finite Population Sampling

David Haziza, Mehdi Dagdoug, Camelia Goga, 2020, Journal of the American Statistical Association.

Efficient nonparametric estimation for skewed distributions

D. Haziza, J. Beaumont, C. Favre-Martinoz, 2020, Canadian Journal of Statistics.

An Adaptive Data Collection Procedure for Call Prioritization

David Haziza, Cynthia Bocci, D. Haziza, 2014 .

SAMPLE EMPIRICAL LIKELIHOOD AND THE DESIGN-BASED ORACLE VARIABLE SELECTION THEORY

D. Haziza, Puying Zhao, Changbao Wu, 2020 .

A Discussion of Weighting Procedures for Unit Nonresponse

David Haziza, Éric Lesage, D. Haziza, 2016 .

Approaches to Improving Survey-Weighted Estimates

Roderick J. A. Little, Michael R. Elliott, Ye Yang, 2017 .

COMPARISON OF VARIANCE ESTIMATORS IN TWO-PHASE SAMPLING: AN EMPIRICAL INVESTIGATION

D. Haziza, 2011 .

Comparison of variance estimators under Rao-Sampford method: a simulation study

J. Rao, D. Haziza, F. Mecatti, 2004 .

Robustness in Survey Sampling Using the Conditional Bias Approach with R Implementation

David Haziza, Anne Ruiz-Gazen, Cyril Favre-Martinoz, 2016 .

Examining some aspects of balanced sampling in surveys

D. Haziza, G. Chauvet, É. Lesage, 2017 .

Examining some aspects of balanced sampling in surveys

D. Haziza, É. Lesage, 2016 .

Jackknife empirical likelihood method for multiply robust estimation with missing data

Sixia Chen, David Haziza, D. Haziza, 2018, Comput. Stat. Data Anal..

A Cautionary Tale on Instrumental Calibration for the Treatment of Nonignorable Unit Nonresponse in Surveys

David Haziza, Éric Lesage, Xavier D’Haultfœuille, 2018, Journal of the American Statistical Association.

Targeting Key Survey Variables at the Unit Nonresponse Treatment Stage

David Haziza, Shyh-Jye Chen, Yimeng Gao, 2020, Journal of Survey Statistics and Methodology.