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

• Autorzy: J. N. K. Rao
• 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: 53--58

Twórcy

autor

J. N. K. Rao

• School of Mathematics and Statistics, Carleton University, Canada

Bibliografia

• DEHNEL, G., WAWROWSKI, L., (2020). Robust estimation of wages in small enterprises: the application to Poland's districts, Statistics in Transition new series, 21, pp. 137-157.
• GUADARRAMA, M., MOLINA, I., RAO, J. N. K., (2016). A comparison of small area estimation methods for poverty mapping, Statistics in Transition new series, 1, pp. 41-66.
• GHOSH, M., LAHIRI, P., (1989). A hierarchical Bayes approach to small area estimation with auxiliary information, In: Proceedings of the Joint Indo- US Workshop on Bayesian Inference in Statistics and Econometrics.
• HANSEN, M. H., MADOW, W. G., TEPPING, B. J., (1983). An evaluation of modeldependent and probability sampling inferences in sample surveys, Journal of the American Statistical Association, 78, pp. 776-793.
• HIDIROGLOU, M. A, BEAUMONT, J-F., YUNG, W., (2019). Development of a small area estimation system at Statistics Canada, Survey Methodology, 45, pp. 101-126.
• JIANG, J., RAO, J. S., (2020). Robust small area estimation: An overview, Annual Reviews, 7, pp. 337-360.
• KALTON, G., (2019). Developments in survey research over the past 60 years: A personal perspective, International Statistical Review, 87, pp. S10-S30.
• LI, H., LAHIRI, P., (2010). An adjusted maximum likelihood method for solving small area estimation problems, Journal of Multivariate Analysis, 101, pp. 882-892.
• MOLINA, I., MARHUENDA, Y., (2015). Sae: An R package for Small Area Estimation, The R Journal of Statistics, 7, pp. 81-98.
• MOLINA, I., RAO, J. N. K., DATTA, G. S., (2015). Small area estimation under a FayHerriot model with preliminary testing for the presence of random effects, Survey Methodology, 41, pp. 1-19.
• PFEFFERMANN, D., BEN-HUR, D., (2018). Estimation of randomization mean squared error in small area estimation, International Statistical Review, 87, pp. S31-S49.
• RAO, J. N. K., (2003). Small Area Estimation. Hoboken, NJ: Wiley.
• RAO, J. N. K., (2020). On making valid inferences by integrating data from surveys and other sources, Sankhya, Series B (in press).
• RAO, J. N. K., RUBIN-BLEUER, S., ESTEVAO, V. M., (2018). Measuring uncertainty associated with model-based small area estimators, Survey Methodology, 44, pp. 151-166.
• SINHA, S. K., RAO, J. N. K., (2009). Robust small area estimation, Canadian Journal of Statistics, 37, pp. 381-399.
• TZAVIDIS, N., ZHANG, L. C., LUNA, A., SCHMID, T., ROJAS-PERILLA, N., (2018). From start to finish: a framework for the production of small area official statistics, Journal of the Royal Statistical Society, Series A, 181, pp. 927-979.

Identyfikatory

DOI

10.21307/stattrans-2020-029