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345-356

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author

- Statistics Finland, ari.veijanen@stat.fi

author

- University of Helsinki, risto.lehtonen@helsinki.fi

References

- ALFONS, A., TEMPL, M., FILZMOSER, P., KRAFT, S., HULLIGER, B, KOLB, J.-P. and MUNNICH, R., 2011. Report on outcome of the simulation study. (Deliverable 6.2 of WP6) [online] Trier: Project AMELI. Available at: <http://svn.uni-trier.de/AMELI>.
- CHAMBERS, R. L. and DORFMAN, A. H., 2003. Transformed variables in survey sampling, Working paper M03/21, Southampton Statistical Sciences Research Institute.
- CHAMBERS, R. and TZAVIDIS, N., 2006. M-quantile models for small area estimation. Biometrika, 93, pp. 255-268.
- CHANDRA, H. and CHAMBERS, R., 2011. Small area estimation under transformation to linearity. Survey Methodology, 37, pp. 39-51.
- CLEMENCEAU, A., J., MUSEUX M. and BAUER, M., 2006. EU - SILC (Community statistics on Income and Living Conditions): issues and challenges. [online]. Available at: <http://www.stat.fi/eusilc/clemenceau_museux_bauer_rev2.pdf>.
- European Commission (EUROSTAT Working Group statistics on income, poverty and social exclusion), 2003. Laeken indicators. Detailed calculation methodology (DOC. E2/IPSE/2003). Luxembourg.
- FABRIZI, E., FERRANTE, M. R. and PACEI, S., 2007. Comparing alternative distributional assumptions in mixed models used for small area estimation of income parameters. Statistics in Transition, 8, pp. 423-439.
- JIANG, J. and LAHIRI, P., 2006. Mixed model prediction and small area estimation. Sociedad de Estadistica e Investigacion Operative Test, 15, pp. 1-96.
- KARLBERG, F., 2000. Survey estimation for highly skewed populations in the presence of zeroes. Journal of Official Statistics, 16, pp. 229-241.
- LEHTONEN, R. and VEIJANEN, A., 2009. Design-based methods of estimation for domains and small areas. In: C. R. Rao and Pfeffermann, D., eds. Handbook of statistics, vol. 29(B). Sample surveys: theory, methods and inference, pp. 219-249. Oxford: Elsevier.
- MOLINA, I. and RAO, J. N. K., 2010. Small area estimation of poverty indicators. The Canadian Journal of Statistics, 38, pp. 369-385.
- RAO, J. N. K., 2003. Small area estimation. New York: John Wiley & Sons.
- SINGH, A. C. and MOHL, C. A., 1996. Understanding calibration estimators in survey sampling. Survey Methodology, 22, pp. 107-115.
- SÄRNDAL, C.-E., 2007. The calibration approach in survey theory and practice. Survey Methodology, 33, pp. 99-119.
- SÄRNDAL, C.-E., SWENSSON, B. and WRETMAN, J., 1992. Model assisted survey sampling. New York: Springer-Verlag.
- YOU, Y. and RAO, J. N. K., 2002. A Pseudo-Empirical Best Linear Unbiased Prediction Approach to Small Area Estimation Using Survey Weights. The Canadian Journal of Statistics, 30, pp. 431-439.
- ZASLAVSKY, A. M. and SCHIRM, A. L., 2002. Interactions between survey estimates and federal funding formulas. Journal of Official Statistics, 18, pp. 371-391.

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Publication order reference

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bwmeta1.element.desklight-499fbc6e-9798-4a88-b202-96dd7acfabaa