References
- Eltinge, J. L. and Yansaneh, I. S. (1997). Diagnostics for formation of nonresponse adjustment cells with an application to income nonresponse in the U.S. consumer expenditure survey. Survey Methodology, 23, 33-40.
- Fuller, W. A. (1996). Introduction to statistical time series, Wiley, New York.
- Isaki, C. T. and Fuller, W. A. (1982). Survey design under the regression superpopulation model. Journal of the American Statistical Association, 77, 89-96. https://doi.org/10.1080/01621459.1982.10477770
- Lipsitz, S. R., Ibrahim, J. G. and Zhao, L. P. (1999). A weighted estimating equation for missing covariate data with properties similar to maximum likelihood. Journal of the American Statistical Association, 94, 1147-1160. https://doi.org/10.1080/01621459.1999.10473870
- Little, R. J. A. (1986). Survey nonresponse adjustments. International Statistical Review, 54, 139-157. https://doi.org/10.2307/1403140
- Lohr, S. L. (1999). Sampling: Design and analysis, Duxbury, California.
- Park, H. and Park, W. (2013). Usage of auxiliary variable and neural network in doubly robust estimation. Journal of the Korean Data & Information Science Society, 24, 659-667. https://doi.org/10.7465/jkdi.2013.24.3.659
- Robins, J. M., Rotnitzky, A. and Zhao, L. P. (1994). Estimation of regression coefficients when some regressors are not always observed. Journal of the American Statistical Association, 89, 846-866. https://doi.org/10.1080/01621459.1994.10476818
- Rosenbaum, P. R. (1987). Model-based direct adjustment. Journal of the American Statistical Association, 82, 387-394. https://doi.org/10.1080/01621459.1987.10478441
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