Missing data and auxiliary information in surveys
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DOI: 10.1007/BF02753912
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Cited by:
- Carlos Bouza, 2009. "Ranked set sampling and randomized response procedures for estimating the mean of a sensitive quantitative character," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 70(3), pages 267-277, November.
- Wojciech Gamrot, 2012. "Estimation of finite population kurtosis under two-phase sampling for nonresponse," Statistical Papers, Springer, vol. 53(4), pages 887-894, November.
- M. Rueda & S. González & A. Arcos, 2007. "A Predictive Estimator of the Mean with Missing Data," Quality & Quantity: International Journal of Methodology, Springer, vol. 41(2), pages 201-217, April.
- H. Toutenburg & V. Srivastava & Shalabh, 2008. "Amputation versus imputation of missing values through ratio method in sample surveys," Statistical Papers, Springer, vol. 49(2), pages 237-247, April.
- Rueda, M. & Martinez, S. & Martinez, H. & Arcos, A., 2006. "Mean estimation with calibration techniques in presence of missing data," Computational Statistics & Data Analysis, Elsevier, vol. 50(11), pages 3263-3277, July.
- S. González & M. Rueda & A. Arcos, 2008. "An improved estimator to analyse missing data," Statistical Papers, Springer, vol. 49(4), pages 791-796, October.
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Keywords
Auxiliary information; missing data; Horvitz-Thompson estimator;All these keywords.
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