- Author
- Molina Isabel (Universidad Carlos III de Madrid, Spain)
- Title
- Discussion of "Small Area Estimation: its Evolution in Five Decades", by Malay Ghosh
- Source
- Statistics in Transition, 2020, vol. 21, nr 4 Special Issue, s. 40-44, bibliogr. s. 43-44
- Keyword
- Statystyka małych obszarów, Recenzja
Small area estimates, Review - Note
- summ.
- Accessibility
- The Main Library of the Cracow University of Economics
The Library of Warsaw School of Economics
The Library of University of Economics in Katowice - Full text
- Show
- Bibliography
-
- BATTESE, G. E., HARTER, R. M., 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, pp. 28-36.
- CORRAL, P., MOLINA, I., NGUYEN, M., (2020). Pull your small area estimates up by the bootstraps. World Bank Policy Research Working Paper 9256.
- DIALLO, M., RAO, J., (2018). Small area estimation of complex parameters under unitlevel models with skew-normal errors. Scandinavian Journal of Statistics, 45, pp. 1092-1116.
- ELBERS, C., LANJOUW, J. O., LANJOUW, P., (2003). Micro-level estimation of poverty and inequality. Econometrica, 71, pp. 355-364.
- FERRETTI, C., MOLINA, I., (2012). Fast EB Method for Estimating Complex Poverty Indicators in Large Populations. Journal of the Indian Society of Agricultural Statistics, 66, pp. 105-120.
- GONZÁLEZ -MANTEIGA, W., LOMBARDÍA,M.J.,MOLINA,I.,MORALES,D.,SANTAMARÍA,L., (2008). Bootstrap mean squared error of a small-area eblup. Journal of Statistical Computation and Simulation, 78, pp. 443-462.
- GRAF, M., MARÍN, J. M., MOLINA, I., (2019). A generalized mixed model for skewed distributions applied to small area estimation. TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, 28, pp. 565-597.
- GUADARRAMA, M., MOLINA, I., RAO, J. N. K., (2018). Small area estimation of general parameters under complex sampling designs. Computational Statistics and Data Analysis, 121, pp. 20-40.
- HUANG, R., HIDIROGLOU, M., (2003). Design consistent estimators for a mixed linear model on survey data. Proceedings of the Survey Research Methods Section, American Statistical Association (2003), pp. 1897-1904.
- MARHUENDA, Y., MOLINA, I., MORALES, D., RAO, J. N. K., (2017). Poverty mapping in small areas under a twofold nested error regression model. Journal of the Royal Statistical Society: Series A, 180, pp. 1111-1136.
- MOLINA, I., (2019). Desagregación de datos enencuestas de hogares: metodologías de estimación en áreas pequeñas. Seriesdela Comisión Económicapara América Latinayel Caribe (CEPAL), Estudios Estadísticos LC/TS.2018/82/Rev.1, CEPAL.
- MOLINA, I., MARHUENDA, Y., (2015). sae: An R package for small area estimation. The R Journal, 7, pp. 81-98.
- MOLINA, I., NANDRAM, B., RAO, J. N. K., (2014). Small area estimation of general parameters with application to poverty indicators: A hierarchical Bayes approach. The Annals of Applied Statistics, 8, pp. 852-885.
- MOLINA, I., RAO, J. N. K., (2010). Small Area Estimation of Poverty Indicators. The Canadian Journal of Statistics, 38, pp. 369-385.
- STUKEL, D., RAO, J. N. K., (1999). On small-area estimation under two-fold nested error regression models. Journal of Statistical Planning and Inference, 78, pp. 131-147.
- VAN DER WEIDE, R., (2014). Gls estimation and empirical Bayes prediction for linear mixed models with heteroskedasticity and sampling weights: a background study for the POVMAP project. World Bank Policy Research Working Paper 7028.
- YOU, Y., RAO, J. N. K., (2002). A pseudo-empirical best linear unbiased prediction approach to small area estimation using survey weights. The Canadian Journal of Statistics, 30, pp. 431-439.
- Cited by
- ISSN
- 1234-7655
- Language
- eng
- URI / DOI
- http://dx.doi.org/10.21307/stattrans-2020-026
