Discussion of "Small Area Estimation: its Evolution in Five Decades", by Malay Ghosh

• Autorzy: Julie Gershunskaya
• Języki publikacji: EN

Słowa kluczowe

EN

Small area estimates; Review

PL

Statystyka małych obszarów; Recenzja

• Czasopismo: Statistics in Transition
• Rocznik: 2020
• Tom: 21
• Numer: nr 4 Special Issue
• Strony: 23--29

Twórcy

autor

Julie Gershunskaya

• U. S. Bureau of Labor Statistics, 2 Massachusetts Ave NE, Washington, DC 20212, USA

Bibliografia

• ARORA, V., LAHIRI, P., (1997). On the superiority of the Bayesian methods over the BLUP in small area estimation problems. Statistica Sinica 7, pp. 1053-1063.
• BUREAU OF LABOR STATISTICS, (2004). Employment, Hours, and Earnings from the Establishment Survey, BLS Handbook of Methods, Washington, DC: US Department of Labor.
• DASS, S. C., MAITI, T., REN, H., SINHA, S., (2012). Confidence interval estimation of small area parameters shrinking both means and variances. Survey Methodology, 38, pp. 173-187.
• GERSHUNSKAYA, J., SAVITSKY, T. D., (2020) Model-based screening for robust estimation in the presence of deviations from linearity in small domain models. Journal of Survey Statistics and Methodology, Vol. 8, Issue 2, pp. 181-205, https://doi.org/10.1093/jssam/smz004.
• HANSEN, M. H., (1987). Some History and Reminiscences on Survey Sampling. Statistical Science, Vol. 2, No. 2, pp. 180-190.
• LIU, B., LAHIRI, P., KALTON, G., (2014). Hierarchical Bayes modelling of surveyweighted small area proportions. Survey Methodology, Vol. 40, No. 1, pp. 1-13.
• MAHALANOBIS, P. C., (1946). Recent experiments in statistical sampling in the Indian Statistical Institute. Journal of the Royal Statistical Society, 109, pp. 325-378.
• MAITI, T., H. REN, A. SINHA, (2014). Prediction Error of Small Area Predictors Shrinking Both Means and Variances. Scandinavian Journal of Statistics, 41, pp. 775-790.
• STAN DEVELOPMENT TEAM, (2017). Stan modeling Language User's Guide and Reference Manual, Version 2.17.0 [Computer Software Manual], available at http://mc-stan.org/. Accessed February 28, 2019.
• SUGASAWA, S., TAMAE, H., KUBOKAWA, T., (2017). Bayesian Estimators for Small Area Models Shrinking Both Means and Variances. Scandinavian Journal of Statistics, 44, pp. 150-167.
• YOU, Y., CHAPMAN, B., (2006). Small area estimation using area level models and estimated sampling variances. Survey Methodology, 32, pp. 97-103.

Identyfikatory

DOI

10.21307/stattrans-2020-023