Precise Asymptotics for Linear Mixed Models with Crossed Random Effects

Fuente: arXiv
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Hauptverfasser: Jiang, Jiming, Wand, Matt P., Ghosh, Swarnadip
Format: Preprint
Veröffentlicht: 2024
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author Jiang, Jiming
Wand, Matt P.
Ghosh, Swarnadip
author_facet Jiang, Jiming
Wand, Matt P.
Ghosh, Swarnadip
contents We obtain an asymptotic normality result that reveals the precise asymptotic behavior of the maximum likelihood estimators of parameters for a very general class of linear mixed models containing cross random effects. In achieving the result, we overcome theoretical difficulties that arise from random effects being crossed as opposed to the simpler nested random effects case. Our new theory is for a class of Gaussian response linear mixed models which includes crossed random slopes that partner arbitrary multivariate predictor effects and does not require the cell counts to be balanced. Statistical utilities include confidence interval construction, Wald hypothesis test and sample size calculations.
format Preprint
id arxiv_https___arxiv_org_abs_2409_05066
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Precise Asymptotics for Linear Mixed Models with Crossed Random Effects
Jiang, Jiming
Wand, Matt P.
Ghosh, Swarnadip
Statistics Theory
We obtain an asymptotic normality result that reveals the precise asymptotic behavior of the maximum likelihood estimators of parameters for a very general class of linear mixed models containing cross random effects. In achieving the result, we overcome theoretical difficulties that arise from random effects being crossed as opposed to the simpler nested random effects case. Our new theory is for a class of Gaussian response linear mixed models which includes crossed random slopes that partner arbitrary multivariate predictor effects and does not require the cell counts to be balanced. Statistical utilities include confidence interval construction, Wald hypothesis test and sample size calculations.
title Precise Asymptotics for Linear Mixed Models with Crossed Random Effects
topic Statistics Theory
url https://arxiv.org/abs/2409.05066