Page 85 - Contributed Paper Session (CPS) - Volume 2

CPS1437 Thanyani M.
It was clearly stated that calibration aims at improving estimated of sample
surveys. Furthermore calibration should bring sample weight distribution
closer to the distribution of auxiliary totals. While the methods of relaxing
constraints to achieve such objective there is eminent danger of distorting
sampling distribution, therefore quality of auxiliary variables is of utmost
importance.

References
1. Bar-Gera, H., Konduri, K. C., Sana, B., Ye, X., and Pendyala, R. M., (2009).
Estimating survey weights with multiple constraints using entropy
optimization methods. Technical report.
2. Davies, G., (2018). Examination of approaches to calibration in survey
sampling. (Doctoral dissertation, Cardiff University).
3. Deville, J.C. and Särndal, C.E., (1992). Calibration estimators in survey
sampling. Journal of the American statistical Association, 87(418),
pp.376-382.
4. Deville, J.C. and Särndal, C.E., and Sautory, O., (1993). Generalized raking
procedures in survey sampling. Journal of the American Statistical
Association, 88 (423), 1013–1020.
5. Fuller, W.A. (2002). Regression Estimation for Survey Samples. Survey
Methodology, Vol. 28, pp. 5-23.
6. Gambino, J., Kennedy, B. and Singh, M.P. (2001). Regression Composite
Estimation for the Canadian Labour Force Survey. Survey Methodology,
Vol. 27, pp. 65-74.
7. Mohadjer, L., Montaquila, J. M., Waksberg, J., Bell, B., James, P., Flores-
Cervantes, I., and Montes, M., (1996). National Health and Nutrition
Examination Survey III: Weighting and estimation methodology.
Rockville, MD: Westat.
8. Reid, A. and Hall, D. W., (2001). Using equalisation constraints to find
optimal calibration weights. U.S. Bureau of the Census.
9. Wallace, L. and Rust, K., (1996). A Comparison of raking and
poststratification using 1994 NAEP Data. Westat. Rockville.
10. Wu, S., Kennedy, B., AND Singh, A. C., (1997). Household-level versus
person-level regression weight calibration for household survey. SSC
Annual Meeting, June 1997.

74 | I S I W S C 2 0 1 9