Mixed Model Selection with Applications to Small Area Estimation

J. Sunil Rao, J. N.K. Rao

Research output: Contribution to journalArticlepeer-review

Abstract

Mixed models have widespread appeal in many areas of statistical modeling including small area estimation. Here we review a variety of different approaches for linear mixed model selection eventually arriving at the specific problem of selecting variables in small area models ranging from parametric and non-parametric area and unit level models to subarea small area models.

Original languageEnglish (US)
Pages (from-to)311-326
Number of pages16
JournalStatistics and Applications
Volume22
Issue number3
StatePublished - 2024

Bibliographical note

Publisher Copyright:
© 2024, Society of Statistics, Computer and Applications. All rights reserved.

Keywords

  • Subareas

Fingerprint

Dive into the research topics of 'Mixed Model Selection with Applications to Small Area Estimation'. Together they form a unique fingerprint.

Cite this