Mixed Model Prediction and Small Area Estimation
- Autores: P. Lahiri, Jiming Jiang
- Localización: Test: An Official Journal of the Spanish Society of Statistics and Operations Research, ISSN-e 1863-8260, ISSN 1133-0686, Vol. 15, Nº. 1, 2006, págs. 1-96
- Idioma: inglés
- DOI: 10.1007/bf02595419
- Enlaces
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Resumen
Over the last three decades, mixed models have been frequently used in a wide range of small area applications. Such models offer great flexibilities in combining information from various sources, and thus are well suited for solving most small area estimation problems. The present article reviews major research developments in the classical inferential approach for linear and generalized linear mixed models that are relevant to different issues concerning small area estimation and related problems.
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