Pseudo-population bootstrap methods for imputed survey data

Author:

Chen S1,Haziza D2,Léger C2,Mashreghi Z3

Affiliation:

1. Department of Biostatistics and Epidemiology, University of Oklahoma Health Sciences Center, 801 NE 13th Street, Oklahoma City, Oklahoma 73126-0901, U.S.A

2. Département de mathématiques et de statistique, Université de Montréal, 2920 chemin de la Tour, Montréal, Québec H3C 3J7, Canada

3. Department of Mathematics and Statistics, University of Winnipeg, 515 Portage Avenue, Winnipeg, Manitoba R3B 2E9, Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Canadian Statistical Sciences Institute

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,General Agricultural and Biological Sciences,Agricultural and Biological Sciences (miscellaneous),General Mathematics,Statistics and Probability

Reference41 articles.

1. A direct bootstrap method for complex sampling designs from a finite population.;Antal,;J. Am. Statist. Assoc.,2011

2. Doubly robust estimation in missing data and causal inference models;Bang,;Biometrics,2005

3. On the generalized bootstrap for sample surveys with special attention to Poisson sampling;Beaumont,;Int. Statist. Rev.,2012

4. Rate of convergence for asymptotic variance of the Horvitz–Thompson estimator;Berger,;J. Statist. Plan. Infer.,1998

5. Asymptotic consistency under large entropy sampling designs with unequal probabilities;Berger,;Pak. J. Statist.,2011

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