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What Level of Statistical Model Should We Use in Small Area Estimation?

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Publication:2804159
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DOI10.1111/anzs.12115zbMath1336.62046OpenAlexW1626338131MaRDI QIDQ2804159

David G. Steel, Mohammad-Reza Namazi-Rad

Publication date: 28 April 2016

Published in: Australian & New Zealand Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/anzs.12115


zbMATH Keywords

small area estimationecological fallacyEBLUPcontextual effectsynthetic estimator


Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05) Statistical aspects of information-theoretic topics (62B10)


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Cites Work

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  • Small area estimation: an appraisal. With comments and a rejoinder by the authors
  • The BLUPs are not best when it comes to bootstrapping
  • Mixed Models
  • An Introduction to Model-Based Survey Sampling with Applications
  • Mean-Squared Error Estimation in Transformed Fay–Herriot Models
  • Best Linear Unbiased Estimation and Prediction under a Selection Model
  • Mixed-Effects Models in S and S-PLUS
  • M-quantile models for small area estimation
  • The Estimation of the Mean Squared Error of Small-Area Estimators
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