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Statistical Theory and Related Fields Volume 3, 2019 - Issue 2
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Articles

Domain estimation under informative linkage

Ray ChambersSchool of Mathematics and Applied Statistics, National Institute for Applied Statistics Research Australia, University of Wollongong, Wollongong, AustraliaCorrespondence[email protected]
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Nicola SalvatiDipartimento di Economia e Management, Universita di Pisa, Pisa, ItalyORCID Iconhttps://orcid.org/0000-0002-4160-9387View further author information
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Enrico FabriziDipartimento di Scienze Economiche e Sociali, Universita Cattolica del S. Cuore, Milan, ItalyORCID Iconhttps://orcid.org/0000-0003-2504-7043View further author information
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Andrea Diniz da SilvaInstituto Brasileiro de Geografia e Estatística & Escola Nacional de Ciências Estatísticas – ENCE, Rio de Janeiro, BrazilView further author information
Pages 90-102 | Received 01 Dec 2018, Accepted 05 Aug 2019, Published online: 15 Aug 2019

References

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  • Chambers, R. (2009). Regression analysis of probability-linked data. Statisphere, Official Statistics Research Series, Volume 4.
  • Chambers, R., & Diniz da Silva, A. (2019). Improved secondary analysis of linked data. To Appear in Journal of the Royal Statistical Society Series A. doi:10.1111/rssa.12477.
  • Fellegi, I. P., & Sunter, A. B. (1969). A theory for record linkage. Journal of the American Statistical Association, 64, 1183–1210. doi: 10.1080/01621459.1969.10501049
  • Kim, G., & Chambers, R. (2012). Regression analysis under incomplete linkage. Computational Statistics and Data Analysis, 56, 2756–2770. doi: 10.1016/j.csda.2012.02.026
  • Lahiri, P., & Larsen, M. D. (2005). Regression analysis with linked data. Journal of the American Statistical Association, 100, 222–230. doi: 10.1198/016214504000001277
  • Prasad, N. G. N., & Rao, J. N. K. (1990). The estimation of the mean squared error of small-area estimators. Journal of the American Statistical Association, 85, 163–171. doi: 10.1080/01621459.1990.10475320

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