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Small-Area Estimation with Zero-Inflated Data – a Simulation Study Cover

Small-Area Estimation with Zero-Inflated Data – a Simulation Study

Open Access
|Nov 2016

References

  1. 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
  2. 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
  3. 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
  4. 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.
  5. 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
  6. 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
  7. Chandra, H. and R. Chambers. 2011b. “Small Area Estimation under Transformation to Linearity.” Survey Methodology 37: 39-51.
  8. 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
  9. 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.
  10. Eurarea. 2004. Project Reference Volume, deliverable d7.1.4. Technical report, EURAREA consortium.
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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.
  18. 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).
  19. 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).
  20. Rao, J.N.K. 2003. Small Area Estimation. New York: John Wiley.10.1002/0471722189
  21. Särndal, C., B. Swensson, and J. Wretman. 1992. Model Assisted Survey Sampling. New York: Springer Verlag.10.1007/978-1-4612-4378-6
  22. 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
  23. 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
Language: English
Page range: 963 - 986
Submitted on: Mar 1, 2015
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Accepted on: Aug 1, 2016
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Published on: Nov 23, 2016
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2016 Sabine Krieg, Harm Jan Boonstra, Marc Smeets, published by Sciendo
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