Discussion of "Small area estimation: its evolution in five decades", by Malay Ghosh

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Statistics in Transition New Series

Polish Statistical Association

Central Statistical Office of Poland

Subject: Economics , Statistics & Probability

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ISSN: 1234-7655
eISSN: 2450-0291

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

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Discussion of "Small area estimation: its evolution in five decades", by Malay Ghosh

Yan Li

Citation Information : Statistics in Transition New Series. Volume 21, Issue 4, Pages 35-39, DOI: https://doi.org/10.21307/stattrans-2020-025

License : (CC BY-NC-ND 4.0)

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

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REFERENCES

CAI, S., RAO, J. N. K., DUMITRESCU, L., CHATRCHI, G., (2020). Effective transformation-based variable selection under two-fold subarea models in small area estimation. Statistics in Transition (to appear).

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JIANG, J., THUAN, N., (2015). The Fence Methods. World Scientific Publishing Co. Pte. Ltd., Singapore.

LAHIRI, P. ed., (2001). Model Selection. Beachwood, OH: Lecture Notes−Monograph Series, Institute of Mathematical Statistics.

LAHIRI, P., SUNTORNCHOST, J., (2015). Variable selection for linear mixed models with applications in small area estimation. Sankhya B, 77(2), pp. 312–320.

LI, Y., LAHIRI, P., (2019). A simple adaptation of variable selection software for regression models to select variables in nested error regression models. Sankhya B, 81(2), 302–371.

MEZA, J. L., LAHIRI, P., (2005). A note on the PC statistic under the nested error regression model. Survey Methodology 31, pp. 105–109.

RAO, J. N. K., MOLINA, I., (2015). Small Area Estimation, 2nd Edition. Hoboken: Wiley.

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