REFERENCES
- Battese, G.E., Harter, R.M., Fuller, W.A. (1988), An Error Components Model for Prediction of County Crop Area Using Survey and Satellite Data, Journal of the American Statistical Association, 83, 28–36.
- Berger, J.O. (1985), Statistical Decision Theory and Bayesian Analysis. ( 2nd ed.), New York: Springer-Verlag.
- Datta, G.S., Hall, P., Mandal, A. (2011), Model Selection by Testing for the Presence of Small-area Effects in Area-level Data, Journal of the American Statistical Association, 106, 362–374.
- Datta, G.S., Lahiri. P. (2000), A Unified Measure of Uncertainty of Estimated Best Linear Unbiased Predictors in Small Area Estimation Problems, Statistica Sinica, 10, 613–627.
- Datta, G.S., Rao, J. N.K., Smith, D.D. (2005), On Measuring the Variability of Small Area Estimators Under a Basic Area Level Model, Biometrika, 92, 183–196.
- Fay, R. E. (1987), “Application of Multivariate Regression to Small Domain Estimation,” In Small Area Statistics, eds. R. Platek, J. N. K. Rao, C. E. Särndal and M. P. Singh, New York: Wiley, pp. 91–102.
- Fay, R.E., Herriot, R.A. (1979), Estimates of Income for Small Places: An Application of James–Stein Procedure to Census Data, Journal of the American Statistical Association, 74, 269–277.
- Gelfand, A.E., Smith, A. F.M. (1990), Sampling-Based Approaches to Calculating Marginal Densities, Journal of the American Statistical Association, 85, 398–409.
- Ghosh, M. (1992), Constrained Bayes Estimation With Applications, Journal of the American Statistical Association, 87, 533–540.
- Ishwaran, H., Rao, J.S. (2005), Spike and Slab Variable Selection: Frequentist and Bayesian Strategies, The Annals of Statistics, 33, 730–773.
- Jiang, J., Lahiri, P. (2006), Mixed Model Prediction and Small Area Estimation” (with discussions), Test, 15, 1–96.
- Jiang, J., Tang, E-T (2011), The Best EBLUP in the FayHerriot Model, Annals of the Institute of Statistical Mathematics, 63, 1123–1140.
- Lahiri, P., Rao, J. N.K. (1995), Robust Estimation of Mean Squared Error of Small Area Estimators, Journal of the American Statistical Association, 90, 758–766.
- Morris, C. N., and Christiansen, C. L. (1995), “Hierarchical Models for Ranking and for Identifying Extremes With Applications,” in Bayesian Statistics, 5, eds. J. M. Bernardo, J. O. Berger, A. P. Dawid, and A. F. M. Smith, New York: Oxford University Press. pp. 277–296.
- Pfeffermann, D. (2013), New Important Developments in Small Area Estimation, Statistical Science, 28, 40–68.
- Pfeffermann, D., Nathan, G. (1981), Regression Analysis of Data From a Cluster Sample, Journal of the American Statistical Association, 76, 681–689.
- Prasad, N. G.N., Rao, J. N.K. (1990), The Estimation of Mean Squared Error of Small Area Estimators, Journal of the American Statistical Association, 85, 163–171.
- Rao, J. N.K. (2003), Small Area Estimation. New York: Wiley.
- Scott, J.G., Berger, J.O. (2006), An Exploration of Aspects of Bayesian Multiple Testing, Journal of Statistical Planning and Inference, 136, 2144–2162.