|
1. Aitkin, M. (2008). Applications of the Bayesian bootstrap in finite population inference. Journal of Official Statistics, 24, 21. 2. Datta, G.S., Lahiri, P., Maiti, T., and Lu, K.L. (1999). Hierarchical Bayes estimation of unemployment rates for the states of the US. Journal of the American Statistical Association, 94, 1074-1082. [ DOI:10.1080/01621459.1999.10473860] 3. Fabrizi, E. (2002). Hierarchical Bayesian models for the estimation of unemployment rates in small domains of the italian labour force survey. Statistica, 62, 603-618. 4. Gelman, A., and Rubin, D.B. (1992). Inference from iterative simulation using multiple sequences. Statistical science, 7, 457-472. [ DOI:10.1214/ss/1177011136] 5. Gunawan, D., Panagiotelis, A., Griffiths, W., and Chotikapanich, D. (2020). Bayesian weighted inference from surveys. Australian & New Zealand Journal of Statistics, 62, 71-94. [ DOI:10.1111/anzs.12284] 6. Margolis, D.N., and Okatenko, A. (2008). Job Search with Bayes Priors. 7. Rao, J.N.K., and Wu, C. (2010). Bayesian pseudo‐empirical‐likelihood intervals for complex surveys. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 72, 533-544. [ DOI:10.1111/j.1467-9868.2010.00747.x] 8. You, Y. (2008). An integrated modeling approach to unemployment rate estimation for sub-provincial areas of Canada. Survey Methodology, 34, 19. 9. You, Y., and Rao, J.N.K. (2002). Small area estimation using unmatched sampling and linking models. Canadian Journal of Statistics, 30, 3-15. [ DOI:10.2307/3315862] |
