Incorporating User Input Into Optimal Constraining Procedures for Survey Estimates

Agresti, A. (2002). Categorical Data Analysis, (2nd edition). New York: Wiley.10.1002/0471249688Search in Google Scholar

Chang, T. and Kott, P. S. (2008). Using Calibration Weighting to Adjust for Nonresponse Under a Plausible Model. Biometrika, 95, 555-571.10.1093/biomet/asn022Search in Google Scholar

Chen, J. and Sitter, R. (1999). A Pseudo Empirical Likelihood Approach to the Effective Use of Auxiliary Information in Complex Surveys. Statistica Sinica, 9, 385-406.Search in Google Scholar

Chen, J., Sitter, R., and Wu, C. (2002). Using Empirical Likelihood Methods to Obtain Range Restricted Weights in Regression Estimators for Surveys. Biometrika, 89, 230-237.10.1093/biomet/89.1.230Search in Google Scholar

D’Arrigo, J. and Skinner, C. (2010). Linearization Variance Estimation for Generalized Raking Estimators in the Presence of Nonresponse. Survey Methodology, 36, 181-192.Search in Google Scholar

Deming, W.E. and Stephan, F.F. (1940). On a Least Squares Adjustment of a Sampled Frequency Table when the Expected Marginal Totals are Known. Annals of Mathematical Statistics, 11, 427-444.10.1214/aoms/1177731829Search in Google Scholar

Deville, J. and Särndal, C.-E. (1992). Calibration Estimators in Survey Sampling. Journal of the American Statistical Association, 87, 376-382.10.1080/01621459.1992.10475217Search in Google Scholar

Estevao, V., Hidiroglou, M., and Särndal, C.-E. (1995). Methodological Principles for a Generalized Estimation System at Statistics Canada. Journal of Official Statistics, 11, 181-204.Search in Google Scholar

Fuller, W. (2002). Regression Estimation for Survey Samples. Survey Methodology, 28, 5-23.Search in Google Scholar

Ghosh, M. (1992). Constrained Bayes Estimation with Applications. Journal of the American Statistical Association, 87, 533-540.10.1080/01621459.1992.10475236Search in Google Scholar

Green, W.H. (2000). Econometric Analysis, (4th edition). New Jersey: Prentice-Hall.Search in Google Scholar

Ireland, C.T. and Kullback, S. (1968). Contingency Tables with Given Marginals. Biometrika, 55, 179-188.10.1093/biomet/55.1.179Search in Google Scholar

Kott, P.S. (2006). Using Calibration Weighting to Adjust for Nonresponse and Coverage Errors. Survey Methodology, 32, 133-142.Search in Google Scholar

Nandram, B. and Sayit, H. (2011). A Bayesian Analysis of Small Area Probabilities Under a Constraint. Survey Methodology, 37, 137-152.Search in Google Scholar

Pizzinga, A. (2010). Constrained Kalman Filtering: Additional Results. International Statistical Review, 78, 189-208.10.1111/j.1751-5823.2010.00098.xSearch in Google Scholar

Singh, A. and Mohl, C.A. (1996). Understanding Calibration Estimators in Survey Sampling. Survey Methodology, 22, 107-115.Search in Google Scholar

Stewart, J. (2011). Multivariate Calculus, (7th edition). Belmont, California: Brooks Cole.Search in Google Scholar

Särndal, C.-E. (2007). The Calibration Approach in Survey Theory and Practice. Survey Methodology, 33, 99-119.Search in Google Scholar

Wang, J., Fuller, W., and Qu, Y. (2008). Small Area Estimation Under a Restriction. Survey Methodology, 34, 29-36. Search in Google Scholar