An incomplete set of References on calibration estimation
December 2003
References to be added are highly welcomed
please send to giorgio@stat.unipg.it
by Montanari G.E. – Ranalli G.M.
Bankier M., Houle A.M. and Luc M. (1997), Calibration estimation in the 1991 and 1996 Canadian
Censuses, Proceedings of the Section on Survey Research Methods, 66–75, American Statistical
Association, Alexandria, VA.
Bardsley P. and Chambers R.L. (2001), Multipurpose estimation from unbalanced samples, Applied
Statistics, 33, 290–299.
Bell P. (2000), Weighting and standard error estimation for ABS Household Surveys, Working Paper,
ABS Methodology Committee, Australian Bureau of Statistics.
Bellhouse D.R. and Stafford J.E. (2001), Local polynomial regression in complex surveys, Survey
Methodology, 27 n.2, 197–203.
Bethlehem J.G. (1988), Reduction of nonresponse bias through regression estimation, Journal of the
Official Statistics, 4 251–260.
Binder D.A. (1983), On the Variances of Asymptotically Normal Estimators From Complex Surveys,
International Statistical Review, 51, 279–292.
Bishop G. (2000), Methodological issues associated with using BAS data for improving sample design
and estimation for business surveys, Working Paper, Statistical Services Branch, Australian
Bureau of Statistics.
Breidt F.J. and Opsomer J.D. (2000), Local polynomial regression estimators in survey sampling, The
Annals of Statistics, 28, 1026–1053.
Brewer K.R.W. (1999), Design-based or prediction-based inference? Stratified random vs stratified
balanced sampling, International Statistical Review, 67, 385–406.
Casady R.J. and Valliant R. (1993), Conditional properties of post-stratified estimators under normal
theory, Survey Methodology, 19, 183–192.
Cassel C.M., S¨arndal C.E.and Wretman J.H. (1976), Some Results on Generalized Difference
Estimation and Generalized Regression Estimation for Finite Populations, Biometrika, 63, 615–
620.
Chambers R.L. (1996), Robust case-weighting for multipurpose establishment surveys, Journal of Offical
Statistics, 12, 3–32.
Chambers R.L., Dorfman A.H. and Wehrly T.E. (1993), Bias robust estimation in finite populations using
nonparametric calibration, Journal of the American Statistical Association, 88, 268–277.
Chambers R.L. and Skinner C.J. (1999), Intelligent calibration? Proceedings of the Meeting of the
International Association of Survey Statisticians, Helsinki 1999, 221–231.
Chen P., Penne M.A. and Singh A.C. (2000), Experience with the generalized exponential 11 model for
weight calibration for the national household survey on drug abuse, Proceedings of the Section on
Survey Research Methods, 604–609, American Statistical Association, Alexandria, VA.
Chen J., Sitter R.R. and Wu C. (2002), Using empirical likelihood methods to obtain range restricted
weights in regression estimators for surveys, Biometrika, 89, 230–237.
Chhikara R.S. and McKeon J.J. (1990), Estimation in finite population under a calibration model, Journal
of the Official Statistics, 6, 295–310.
Deville JC. and S¨arndal C.E. (1992), Calibration estimators in survey sampling, Journal of the American
Statistical Association, 87, 376–382.
Deville JC., S¨arndal C.E. and Sautory O. (1993), Generalized raking procedures in survey sampling,
Journal of the American Statistical Association, 88, 1013–1020.
Dorfman A.H. (1992), Nonparametric regression for estimating totals in finite population, Proceedings of
the Section on Survey Research Methods, 622–625, American Statistical Association, Alexandria,
Dorfman A.H. and Hall P. (1993), Estimators of the finite population distribution function using
nonparametric regression, The Annals of Statistics, 21, 1452–1475.
Dupont F. (1995), Alternative adjustments when there are several levels of auxiliary information, Survey
Methodology, 21, 125–135.
Duchesne P. (1999), Robust calibration estimators, Survey Methodology, 25, 43–56.
Estevao V., Hidiroglou M.A. and S¨arndal C.E. (1995), Methodological principles for a Generalized
Estimation System At Statistics Canada, The Journal of Official Statistics, 11, 181–204.
Estevao V. and S¨arndal C.E. (1994), Maximizing the use of auxiliary information for calibration and
regression estimation, Proceedings of the Section on Survey Research Methods, 42–48,
American Statistical Association, Alexandria, VA.
Estevao V. and S¨arndal C.E. (1999), The use of auxiliary information in design-based estimation for
domains, Survey Methodology, 25, 213–221.
Estevao V. and S¨arndal C.E. (2000), A functional form approach to calibration, The Journal of Official
Statistics, 16, 379–399.
Estevao V. and S¨arndal C.E. (2002), The ten cases of auxiliary information for calibration in two-phase
sampling, The Journal of Official Statistics, 18, 233–255.
Folsom R.E. and Singh A.C. (2000), The generalized exponential model for sampling weight calibration
for extreme values, nonresponse, and poststratification, Proceedings of the Section on Survey
Research Methods, 598–603, American Statistical Association, Alexandria, VA.
Fuller W.A. (2002), Regression estimation for survey samples. Survey Methodology, 28, 5–23.
Fuller W.A., Loughin M.M. and Baker H.D. (1994), Regression weighting in the presence of nonreponse
with application to the 1987–1988 Nationwide Food Consumption Survey, Survey Methodology,
20, 75–85.
Fuller W.A. and Rao J.N.K. (2001), A regression composite estimator with applications to the Canadian
Labour Force Survey, Survey Methodology, 27, 45–52.
Gambino J., Kennedy B. and Singh M.P. (2001), Regression composite estimation for the Canadian
Labour Force Survey: evolution and implementation, Survey Methodology, 27, 65–74.
Hidiroglou M.A. (2001), Double sampling, Survey Methodology, 27, 143–154.
Hidiroglou M.A. and S¨arndal C.E. (1998), Use of auxiliary information for two-phase sampling, Survey
Methodology, 24, 11–20.
Isaki C.T. and Fuller W.A. (1982), Survey design under the regression superpopulation model, Journal of
the American Statistical Association, 77, 89–96.
Kooiman P., Kroese A.H. and Renssen R.H. (2001), Official statistics: an estimation strategy for thr ITera, Working paper, Statistics Netherland, available at http://neon.vb.cbs.nl/rsm
Kott P.S. (1990), Estimating the Conditional Variance of a Design Consistent Regression Estimator,
Journal of Statistical Planning and Inference, 24, 287–296.
Kott P.S. (1996), Calibration estimators based on several separate stratifications, Proceedings of the
Section on Survey Research Methods, 819–823, American Statistical Association, Alexandria, VA.
Kroese A.H. and Renssen R.H. (2000), New applications of old weighting techniques; constructing a
consistent set of estimates based on data from different sources, Working paper 2945–00–RSM,
Statistics Netherland, available at http://neon.vb.cbs.nl/rsm
Lehtonen R. and Veijanen A. (1998), Logistic generalized regression estimators, Survey Methodology,
24, 51–55.
Lundstr¨om S. and S¨arnal C.E. (1999), Calibration as a standard method for treatment of nonresponse,
Journal of the Official Statistics, 15, 305–327.
Montanari G.E. (1987), Post-sampling Efficient QR-prediction in Large-sample Surveys, International
Statistical Review, 55, 191–202.
Montanari G.E. (1998), On regression estimation of finite population means, Survey Methodology, 24,
69–77.
Montanari G.E. (2000), Conditioning on auxiliary variable means in finite population inference, Australian
Journal of Statitics, 42, 407–421.
Pfeffermann D., Skinner C.J., Holmes D.J., Goldstein H. and Rasbash J. (1998), Weighting for unequal
selection probabilities in multilevel models, Journal of the Royal Statistical Society-B, 60, 23– 40.
Rao J.N.K. (1994), Estimating Totals and Distribution Functions Using Auxiliary Information At the
Estimation Stage, Journal of the Official Statistics, 10, 153–165.
Rao J.N.K. and Singh A.C. (1997), A ridge-shrinkage method for range restricted weight calibration in
survey sampling, Proceedings of the Section on Survey Research Methods, 57–65, American
Statistical Association, Alexandria, VA.
Renssen R.H. (1998), Use of statistical matching techniques in calibration estimation, Survey
Methodology, 24, 171–183.
Renssen, Kroese and Willeboordse (2001), Aligning estimates by repeated weighting, Proceedings of
Statistics Canada Symposium 2001.
Renssen R.H. and Nieuwenbroek N.J. (1997), Aligning estimates for common variables in two or more
sample surveys, Journal of the American Statistical Association, 92, 368–374.
Rizzo L., Kalton G. and Brick J.M. (1996), A comparison of some weighting adjustment methods for panel
nonresponse, Survey Methodology, 22, 43–53.
Robinson P.M. and S¨arndal C.E. (1983), Asymptotic properties of the generalized regression estimator in
probability sampling, Sankhya, Series B, 45, 240–248.
S¨arndal C.E. (1980), On _-inverse Weighting Versus Best Linear Unbiased Weighting in Probability
Sampling, Biomtrika, 67, 639–650.
S¨arndal C.E. and Swensson B. (1987), A general view of estimation for two phases of selection with
applications to two-phases sampling and non response, International Statistical Review, 55, 279–
294.
S¨arndal C.E., Swensson B. and Wretman J. (1992), Model Assisted Survey Sampling, Springer- Verlag,
New York.
Singh A.C. and Folsom R.E. (2000), Bias corrected estimating function approach for variance
estimation adjusted for poststratification, Proceedings of the Section on Survey Research Methods, 610–
615, American Statistical Association, Alexandria, VA.
Singh MP, Hidiroglou MA, Gambino JG, Kovacevic MS (2001), Estimation methods and related systems
at statistics Canada, International Statistical Review, 69, 461–485.
Singh A.C., Kennedy B. and Wu S. (2001), Regression composite estimation for the Canadian Labour
Force Survey with a rotating panel design, Survey Methodology, 27, 33–44.
Singh S. and Mohl C.A. (1996), Understanding calibration estimators in survey sampling, Survey
Methodology, 22, 107–115.
Singh S., Horn S. and Yu F. (1998), Estimation of variance of general regression estimator: higher level
calibration approach, Survey Methodology, 24, 41–50.
Sitter R.R. and Wu C. (2002), Efficient estimation of quadratic finite population functions in the presence
of auxiliary information, Journal of the American Statistical Association, 97, 535–543.
Th´eberge A. (1999), Extensions of calibration estimators in survey sampling, Journal of the American
Statistical Association, 94, 635–644.
Th´eberge A. (2000), Calibration and restricted weights, Survey Methodology, 26, 99–107.
Thomsen I. and Kleive Holmøy A.M. (1998), Combining data from surveys and administrative record
systems. The Norwegian experience, International Statistical Review, 66, 201–221.
Till´e Y. (1999), Estimation in surveys using conditional inclusion probabilities in complex designs, Survey
Methodology, 25, 57–66.
Vaish A.K., Gordek H. and Singh A.C. (2000), Variance estimation adjusted for weight calibration via the
generalized exponential model with application to the national household survey on drug abuse,
Proceedings of the Section on Survey Research Methods, 616–621, American Statistical
Association, Alexandria, VA.
Van Beusekom C.N.J. and Gouweleeuw J.M. (1998), The use of calibration estimator in industrial waste
statistics, Working Paper, Netherlands Official Statistics.
Wright R.L. (1983), Finite Population Sampling With Multivariate Auxiliary Information, Journal of the
American Statistical Association, 78, 879–884.
Wu C. (1999), The effective use of complete auxiliary information from survey data, Unpublished doctoral
dissertation, Simon Fraser University, Canada.
Wu C. (2002), Optimal calibration estimators in survey sampling, Working paper 2002–01, Department of
Statistics and Actuarial Science, University of Waterloo, Canada.
Wu C. and Sitter R.R. (2001), A model-calibration to using complete auxiliary information from survey
data, Journal of the American Statistical Association, 96, 185–193.
Zhang L.C. (2000), Post-stratification and calibration – A synthesis, The American Statistician, 54, 178–
184.