Variable selection for linear mixed models with applications in small area estimation

DOI10.1007/s13571-015-0096-0zbMath1329.62315OpenAlexW1972509464MaRDI QIDQ904301

Jiraphan Suntornchost, Partha Lahiri

Publication date: 13 January 2016

Published in: Sankhyā. Series B (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13571-015-0096-0

zbMATH Keywords

variable selectionsmall area estimationBICadjusted \(R^2\)

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Generalized linear models (logistic models) (62J12) Diagnostics, and linear inference and regression (62J20)

Related Items (4)

The Fay–Herriot model for multiply imputed data with an application to regional wealth estimation in Germany ⋮ Unnamed Item ⋮ Model selection in linear mixed-effect models ⋮ A simple adaptation of variable selection software for regression models to select variables in nested error regression models

Cites Work

• Unnamed Item
• Fence methods for mixed model selection
• Model Selection and Model Averaging
• Data Analysis Using Stein's Estimator and its Generalizations
• Small Area Estimation-New Developments and Directions

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