Multivariate one-sided tests for nonlinear mixed-effects models

DOI10.1002/cjs.11180zbMath1273.62129OpenAlexW2046382281MaRDI QIDQ2851579

Tao Wang, Lang Wu

Publication date: 11 October 2013

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/cjs.11180

zbMATH Keywords

likelihood ratio testsorder-restricted inferenceconstrained inferenceWald-type tests

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Hypothesis testing in multivariate analysis (62H15) Parametric inference under constraints (62F30) General nonlinear regression (62J02)

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Cites Work

• The emperor's new tests. (With comments and a rejoinder).
• Multiple Imputation Methods for Multivariate One-Sided Tests with Missing Data
• Heteroscedastic Nonlinear Regression
• Towards a Unified Theory of Inequality Constrained Testing in Multivariate Analysis
• Laplace's approximation for nonlinear mixed models
• A Joint Model for Nonlinear Mixed-Effects Models With Censoring and Covariates Measured With Error, With Application to AIDS Studies
• Population HIV‐1 Dynamics In Vivo: Applicable Models and Inferential Tools for Virological Data from AIDS Clinical Trials
• Variance Components Testing in the Longitudinal Mixed Effects Model
• One-Sided Testing Problems in Multivariate Analysis

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