Hierarchical Bayes Inference from Survey-Weighted Small Domain Proportions
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Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-7932-2_3
Reference18 articles.
1. Anjoy, P., Chandra, H., & Basak, P. (2019). Estimation of disaggregate-level poverty incidence in Odisha under area-level hierarchical Bayes small area model. Social Indicators Research, 144, 251–273.
2. Baldermann, C., Salvati, N., & Schmid, T. (2018). Robust small area estimation under spatial non-stationarity. International Statistical Review, 86, 136–159.
3. Battese, G. E., Harter, R. M., & Fuller, W. A. (1988). An error-component model for prediction of country crop areas using survey and satellite data. Journal of the American Statistical Association, 83, 28–36.
4. Chandra, H., Salvati, N., & Chambers, R. (2017). Small area prediction of counts under a nonstationary spatial model. Spatial Statistics, 20, 30–56.
5. Chandra, H., Salvati, N., & Chambers, R. (2018). Small area estimation under a spatially non-linear model. Computational Statistics and Data Analysis, 126, 19–38.
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