References
- Ahmed, M. S., O. Al-Titi, Z. Al-Rawi, and W. Abu-Dayyeh. 2006. Estimation of a population mean using different imputation methods. Statistics in Transition 7 (6):1247–64.
- Bhushan, S., and A. P. Pandey. 2016. Optimal imputation of missing data for estimation of population mean. Journal of Statistics and Management System 19 (6):755–69.
- Bhushan, S., and A. P. Pandey. 2018. Optimality of ratio type estimation methods for population mean in presence missing data. Communication in Statistics-Theory and Methods 47 (11):2576–89.
- Bouza, C. N. 2008. Estimation of the population mean with missing observations using product type estimators. Revista Investigation Operacional 29 (3):207–23.
- Bouza Herrera, C. N., and A. I. Al-Omari. 2011. Ranked set estimation with imputation of the missing observations: The median estimator. Revista Investigation Operacional 32(1):30–7.
- Diana, G., and P. F. Perri. 2010. Improved estimators of the population mean for missing data. Communication in Statistics-Theory and Methods 39 (18):3245–51.
- Heitjan, D. F., and S. Basu. 1996. Distinguishing ‘missing at random’ and ‘missing completely at random. The American Statistician 50 (3):207–13.
- Kalton, G., D. Kasprzyk, and R. Santos. 1981. Issues of nonresponse and imputation in the survey of income and program participation. In Current topics in survey sampling, ed. D. Krewski, R. Platek and J.N.K. Rao, 455–480. New York, NY: Academic Press.
- Kalton, G., and D. Kasprzyk. 1982. Imputing for missing survey responses . In Proceedings of the American Statistical Association (Social Survey Research Methods Section), Cincinnati: American statistical association, pp. 22–31.
- Lee, H., E. Rancourt, and C. E. Sarndal. 1994. Experiments with variance estimation from survey data with imputed values. Journal of Official Statistics 10:231–43.
- Lee, H., E. Rancourt, and C. E. Sarndal. 1995. Variance estimation in the presence of imputed data for the generalized estimation system. In Proceedings of the American Statistical Associations (Social Survey Research Methods Section), 384–89. Orlando, Florida: American statistical association.
- Murthy, M. N. 1977. Sampling: Theory and methods. Calcutta: Statistical Publishing Society.
- Mohamed, C., S. A. Sedory, and S. Singh. 2016. Imputation using higher order moments of an auxiliary variable. Communication in Statistics - Simulation and Computation 46:6588–617. DOI:10.1080/03610918.2016.1208235.
- Rubin, R. B. 1976. Inference and missing data. Biometrika 63 (3):581–92.
- Reddy, V. N. 1978. A study on the use of prior knowledge on certain population parameters in estimation. Sankhya C 40:2937.
- Rueda, M., and S. Gonzalez. 2004. Missing data and auxiliary information in surveys. Computational Statistics 19 (4):551–67.
- Rueda, M., S. Gonzalez, and A. Arcos. 2005. Indirect methods of imputation of missing data based on available units. Applied Mathematics and Computation 164 (1):249–61.
- Searls, D. T. 1964. The utilization of a known coefficient of variation in the estimation procedure. Journal of the American Statistical Association 59 (308):1225–6.
- Singh, S., and S. Horn. 1998. An alternative estimator in multi-character surveys. Metrika 48:99–107.
- Singh, S., and S. Horn. 2000. Compromised imputation in survey sampling. Metrika 51 (3):267–76.
- Singh, S., and B. Deo. 2003. Imputation by power transformation. Statistical Papers 44 (4):555–79.
- Singh, S. 2003. Advanced sampling theory with applications: How Michael selected Amy, vol. 1&2. The Netherlands: Kluwer.
- Singh, S. 2009. A new method of imputation in survey sampling, statistics. A Journal of Theoretical and Applied Statistics 43 (5):499–511.
- Singh, S., and S. R. Valdes. 2009. Optimal method of imputation in survey sampling. Applied Mathematical Sciences 3 (35):1727–37.
- Toutenburg, H., and V. K. Srivastava. 1998. Estimation of ratio of population means in survey sampling when some observations are missing. Metrika 48 (3):177–87.
- Toutenburg, H., Srivastava V. K. Shalabh. 2008. Amputation versus imputation of missing values through ratio method in sample surveys. Statistical Papers 49:237–47.