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

Publications

Share / Export Citation / Email / Print / Text size:

Statistics in Transition New Series

Polish Statistical Association

Central Statistical Office of Poland

Subject: Economics , Statistics & Probability

GET ALERTS

ISSN: 1234-7655
eISSN: 2450-0291

DESCRIPTION

7
Reader(s)
20
Visit(s)
0
Comment(s)
0
Share(s)

SEARCH WITHIN CONTENT

FIND ARTICLE

Volume / Issue / page

Related articles

VOLUME 21 , ISSUE 4 (August 2020) > List of articles

Special Issue

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

J. N. K. Rao

Citation Information : Statistics in Transition New Series. Volume 21, Issue 4, Pages 53-58, DOI: https://doi.org/10.21307/stattrans-2020-029

License : (CC BY-NC-ND 4.0)

Received Date : 31-January-2020 / Accepted: 30-June-2020 / Published Online: 15-September-2020

ARTICLE

ABSTRACT

Content not available PDF Share

FIGURES & TABLES

REFERENCES

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.

EXTRA FILES

COMMENTS