Sensitivity of point and interval estimates to distributional assumptions in longitudinal data analysis of small samples

DOI10.1080/03610919508813263zbMath0850.62244OpenAlexW2075383492MaRDI QIDQ4859862

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Publication date: 15 January 1996

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610919508813263

Mathematics Subject Classification ID

Point estimation (62F10) Analysis of variance and covariance (ANOVA) (62J10) Probabilistic methods, stochastic differential equations (65C99)

Related Items (2)

Small sample inference for the fixed effects in the mixed linear model ⋮ Nonparametric Interval Estimation in One-Way Random-Effects Models

Cites Work

• Longitudinal data analysis using generalized linear models
• Random-Effects Models for Longitudinal Data
• Extension of the Gauss-Markov theorem to include the estimation of random effects
• Models for Longitudinal Data: A Generalized Estimating Equation Approach
• Some Statistical Methods for Comparison of Growth Curves
• Statistical and Computational Aspects of Mixed Model Analysis
• Efficient Inference for Random-Coefficient Growth Curve Models with Unbalanced Data
• Compound Random Number Generators
• Empirical Bayes Confidence Intervals Based on Bootstrap Samples
• The Effect of Covariance Structure on Variance Estimation in Balanced Growth-Curve Models with Random Parameters
• Estimation in Covariance Components Models
• Bayes Empirical Bayes
• Maximum Likelihood Approaches to Variance Component Estimation and to Related Problems
• Maximum Likelihood Computations with Repeated Measures: Application of the EM Algorithm
• Bayesian inference for variance components using only error contrasts

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