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Mixed-Effects Models and Small Area Estimation

This book provides a self-contained introduction of mixed-effects models and small area estimation techniques. In particular, it focuses on both introducing classical theory and reviewing the latest methods. First, basic issues of mixed-effects models, such as parameter estimation, random effects pr...

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Bibliografiske detaljer
Main Authors: Sugasawa, Shonosuke (Author), Kubokawa, Tatsuya (Author)
Institution som forfatter: SpringerLink (Online service)
Format: Electronisk eBog
Sprog:engelsk
Udgivet: Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Udgivelse:1st ed. 2023.
Serier:JSS Research Series in Statistics,
Fag:
Statistics .
Applied Statistics.
Statistical Theory and Methods.
Bayesian Inference.
Bayesian Network.
Online adgang:https://doi.org/10.1007/978-981-19-9486-9
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Indholdsfortegnelse:
  • Introduction
  • General Mixed-Effects Models and BLUP
  • Measuring Uncertainty of Predictors
  • Basic mixed-effects Models for Small Area Estimation
  • Hypothesis Tests and Variable Selection
  • Advanced Theory of Basic Small Area Models
  • Small Area Models for Non-normal Response Variables
  • Extensions of Basic Small Area Models.

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