[Bafumi, J. and A. Gelman. 2006. “Fitting Multilevel Models When Predictors and Group Effects Correlate.” Manuscript prepared for the 2006 Annual Meeting of the Midwest Political Science Association, Chicago. DOI: http://dx.doi.org/10.2139/ssrn.1010095.10.2139/ssrn.1010095]Search in Google Scholar
[Bates, D., M. Mächler, B. Bolker, and S. Walker. 2015. “Fitting Linear Mixed-Effects Models Using lme4.” Journal of Statistical Software 67(1). Doi: http://dx.doi.org/10.18637/jss.v067.i01.10.18637/jss.v067.i01]Search in Google Scholar
[Battese, G., R. Harter, and W. Fuller. 1988. “An Error-Components Model for Prediction of County Crop Areas Using Survey and Satellite Data.” Journal of the American Statistical Association 83: 28-36. Doi: http://dx.doi.org/10.2307/2288915.10.2307/2288915]Search in Google Scholar
[Boonstra, H., J. van den Brakel, B. Buelens, S. Krieg, and M. Smeets. 2008. “Towards Small Area Estimation at Statistics Netherlands.” Metron LXVI (1): 21-49. Available at: https://www.researchgate.net/profile/Jan_Brakel/publication/227458249_Towards_small_area_estimation_at_Statistics_Netherlands/links/0c96052f8fdda8aedd000000.pdf.]Search in Google Scholar
[Chambers, R. and N. Tzavidis. 2006. “M-Quantile Models for Small Area Estimation.” Biometrika 93: 255-268. Doi: http://dx.doi.org/10.1093/biomet/93.2.255.10.1093/biomet/93.2.255]Search in Google Scholar
[Chandra, H. and R. Chambers. 2011a. “Small Area Estimation for Skewed Data in Presence of Zeros.” The Bulletin of Calcutta Statistical Association 63: 249-252.10.1177/0008068320110113]Search in Google Scholar
[Chandra, H. and R. Chambers. 2011b. “Small Area Estimation under Transformation to Linearity.” Survey Methodology 37: 39-51.]Search in Google Scholar
[Chandra, H. and U. Sud. 2012. “Small Area Estimation for Zero-Inflated Data.” Communications in Statistics - Simulation and Computation 41: 632-642. Doi: http://dx.doi.org/10.1080/03610918.2011.598991.10.1080/03610918.2011.598991]Search in Google Scholar
[Dreassi, E., A. Petrucci, and E. Rocco. 2012. “Small Area Estimation for Semicontinuous Skewed Georeferenced Data.” Technical Report Working paper 2012/05, Dipartimento di Statistica “G. Parenti”, Florence. Available at: http://local.disia.unifi.it/ricerca/pubblicazioni/working_papers/2012/wp2012_05.pdf.]Search in Google Scholar
[Eurarea. 2004. Project Reference Volume, deliverable d7.1.4. Technical report, EURAREA consortium.]Search in Google Scholar
[Gelfand, A. and A. Smith. 1990. “Sampling Based Approaches to Calculating Marginal Densities.” Journal of the American Statistical Association 85: 398-409. Doi: http://dx.doi.org/10.1080/01621459.1990.10476213.10.1080/01621459.1990.10476213]Search in Google Scholar
[Gelman, A. 2006. “Prior Distributions for Variance Parameters in Hierarchical Models.” Bayesian Analysis 1: 515-534. Doi: http://dx.doi.org/10.1214/06-BA117A.10.1214/06-BA117A]Search in Google Scholar
[Gelman, A., D.V. Dyk, Z. Huang, and W. Boscardin. 2008. “Using Redundant Parameterizations to Fit Hierarchical Models.” Journal of Computational and Graphical Statistics 17: 95-122. Doi: http://dx.doi.org/10.1198/106186008X287337.10.1198/106186008X287337]Search in Google Scholar
[Geman, S. and D. Geman. 1984. “Stochastic Relaxation, Gibbs Distributions and the Bayesian Restoration of Images.” IEEE Transactions on Pattern Analysis and Machine Intelligence 6: 721-741. Doi: http://dx.doi.org/10.1109/TPAMI.1984.4767596.10.1109/TPAMI.1984.4767596]Search in Google Scholar
[Hadfield, J.D. 2010. “Mcmc Methods for Multi-Response Generalized Linear Mixed Models: The MCMCglmm R Package.” Journal of Statistical Software 33: 1-22. Doi: http://dx.doi.org/10.18637/jss.v033.i02.10.18637/jss.v033.i02]Search in Google Scholar
[Neuhaus, J. and C. McCulloch. 2006. “Separating Between- and Within-Cluster Covariate Effects by Using Conditional and Partitioning Methods.” Journal of the Royal Statistical Society B 68: 859-872. Doi: http://dx.doi.org/10.1111/j.1467-9868.2006.00570.x.10.1111/j.1467-9868.2006.00570.x]Search in Google Scholar
[Pfeffermann, D., B. Terryn, and F. Moura. 2008. “Small Area Estimation under a Two Part Random Effects Model with Application to Estimation of Literacy in Developing Countries.” Survey Methodology 34: 67-72.]Search in Google Scholar
[Plummer, M., N. Best, K. Cowles, and K. Vines. 2006. “Coda: Convergence Diagnosis and Output Analysis for mcmc.”RNews 6: 7-11. Available at: http://oro.open.ac.uk/id/eprint/22547 (accessed 13 October, 2016).]Search in Google Scholar
[R Development Core Team. 2009. R: A Language and Environment for Statistical Computing. Technical Report, R Foundation for Statistical Computing, Vienna. Available at: http://www.R-project.org. (accessed 13 October, 2016).]Search in Google Scholar
[Rao, J.N.K. 2003. Small Area Estimation. New York: John Wiley.10.1002/0471722189]Search in Google Scholar
[Särndal, C., B. Swensson, and J. Wretman. 1992. Model Assisted Survey Sampling. New York: Springer Verlag.10.1007/978-1-4612-4378-6]Search in Google Scholar
[Sinha, S.K. and J.N.K. Rao. 2009. “Robust Methods for Small Area Estimation.” Canadian Journal of Statistics 37: 381-399. Doi: http://dx.doi.org/10.1002/cjs.10029.10.1002/cjs.10029]Search in Google Scholar
[Woodruff, R. 1966. “Use of a Regression Technique to Produce Area Breakdowns of the Monthly National Estimates of Retail Trade.” Journal of the American Statistical Association 61: 496-504. Doi: http://dx.doi.org/10.2307/2282839.10.1080/01621459.1966.10480885]Search in Google Scholar