Unit level model for small area estimation with count data under square root transformation-Reference-Cited by-同舟云学术

Unit level model for small area estimation with count data under square root transformation

Published:2022-03-01 Issue:1 Volume:36 Page:
ISSN:0103-0752
Container-title:Brazilian Journal of Probability and Statistics
language:
Short-container-title:Braz. J. Probab. Stat.

Author:

Gonçalves Kelly C. M.¹,Ghosh Malay²

Affiliation:

1. Departamento de Métodos Estatísticos, Instituto de Matemática, Universidade Federal do Rio de Janeiro, Centro de Tecnologia — Bloco C, Cidade Universitária, Caixa Postal 68530, Rio de Janeiro, RJ, Brazil, CEP 21941-909

2. Department of Statistics, 102 Griffin-Floyd Hall, P.O. Box 118545, University of Florida, Gainesville, Florida 32611

Publisher

Institute of Mathematical Statistics

Subject

Statistics and Probability

Reference15 articles.

1. Anscombe, F. J. (1952). Large-sample theory of sequential estimation. In Mathematical Proceedings of the Cambridge Philosophical Society, Vol. 48, 600–607.

2. Battese, G. E., Harter, R. M. and Fuller, W. A. (1988). An error-components model for prediction of county crop areas using survey and satellite data. Journal of the American Statistical Association 83, 28–36.

3. Datta, G. S. and Ghosh, M. (1991). Bayesian prediction in linear models: Applications to small area estimation. The Annals of Statistics 19, 1748–1770.

4. Fay, R. E. and Herriot, R. A. (1979). Estimates of income for small places: An application of James-Stein procedures to census data. Journal of the American Statistical Association 74, 269–277.

5. Gelfand, A. E. (1996). Model determination using sampling-based methods. In Markov Chain Monte Carlo in Practice (W. R. Gilks, S. Richardson and D. J. Spiegelhalter, eds.) 145–162. London: Chapman and Hall.