Asymptotic distribution of likelihood ratio test statistics for variance components in nonlinear mixed effects models

DOI10.1016/J.CSDA.2019.01.014OpenAlexW2912118975WikidataQ128452606 ScholiaQ128452606MaRDI QIDQ113495

Estelle Kuhn, Paul-Henry Cournède, Charlotte Baey, Charlotte Baey, Paul-Henry Cournède, Estelle Kuhn

Publication date: July 2019

Published in: Computational Statistics & Data Analysis, Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1712.08567

zbMATH Keywords

likelihood ratio testhypothesis testingvariance componentsnonlinear mixed effects modelschi-bar-square distributioninference under constraints

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Asymptotic distribution theory in statistics (62E20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Parametric hypothesis testing (62F03) Asymptotic properties of parametric tests (62F05)

Related Items (3)

Confidence regions near singular information and boundary points with applications to mixed models ⋮ Bayesian inference of natural selection from spatiotemporal phenotypic data ⋮ Investigating heterogeneity in meta-analysis of studies with rare events. Estimating the amount of heterogeneity

Uses Software

• S-PLUS
• lme4
• MEMSS

Cites Work

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