- Author
- Erciulescu AnL. (National Institute of Statistical Sciences and USDA NASS, Washington), Fuller Wayne A. (Iowa State University)
- Title
- Small Area Prediction Under Alternative Model Specifications
- Source
- Statistics in Transition, 2016, vol. 17, nr 1, s. 9-24, tab., bibliogr. s. 23-24
- Keyword
- Metody samowsporne, Statystyka małych obszarów, Metody statystyczne
Bootstrap, Small area estimates, Statistical methods - Note
- Materiały z międzynarodowej konferencji Small Area Estimation (SAE 2014), Poznań.
summ.
The work of Erciulescu was conducted while she was a student in the Departments of Statistics at Iowa State University. This research was partially supported by USDA NRCS CESU agreement 68-7482-11-534. - Abstract
- Construction of small area predictors and estimation of the prediction mean squared error, given different types of auxiliary information are illustrated for a unit level model. Of interest are situations where the mean and variance of an auxiliary variable are subject to estimation error. Fixed and random specifications for the auxiliary variables are considered. The efficiency gains associated with the random specification for the auxiliary variable measured with error are demonstrated. A parametric bootstrap procedure is proposed for the mean squared error of the predictor based on a logit model. The proposed bootstrap procedure has smaller bootstrap error than a classical double bootstrap procedure with the same number of samples. (original abstract)
- 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
The Main Library of the Wroclaw University of Economics - Full text
- Show
- Bibliography
-
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- Cited by
- ISSN
- 1234-7655
- Language
- eng
