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Statistics in Transition New Series
Polish Statistical Association
Central Statistical Office of Poland
Subject: Economics, Statistics & Probability
ISSN: 1234-7655
eISSN: 2450-0291
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Discussion of "Small area estimation: its evolution in five decades", by Malay Ghosh
Citation Information : Statistics in Transition New Series. Volume 21, Issue 4, Pages 30-34, DOI: https://doi.org/10.21307/stattrans-2020-024
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
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HAN, Y., (2018). Statistical inference using data from multiple files combined through record linkage. PhD thesis, University of Maryland.
HAN, Y., LAHIRI, P., (2019). Statistical analysis with linked data. Journal of the American Statistical Association, 87, pp. S139–S157.
JIANG, J., LAHIRI, P., (2006). Mixed model prediction and small area estimation. Test, 15(1), pp. 1–96.
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LAHIRI, P., (2017). Small area estimation with linked data. Keynote address at the ISI Satellite Meeting on Small Area Estimation, Paris, France, July, pp. 10–12.
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PFEFFERMAN, D., (2013). New important developments in small area estimation. Statistical Science, 28(1), pp. 40–68.
RAO, J., MOLINA, I., (2015). Small Area Estimation. Wiley, second edition.
SAMART, K., CHAMBERS, R., (2014). Linear regression with nested errors using probability-linked data. Australian and New Zealand Journal of Statistics, 56(1), pp. 27–46.