A Monte Carlo Study of the Robustness of Prediction in Growth Curve Models

DOI10.1080/00949659508811650zbMath0842.62060OpenAlexW2005921453MaRDI QIDQ4869586

Jean-Claude Massé, Denis Hamel

Publication date: 18 April 1996

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949659508811650

zbMATH Keywords

robustnessMonte Carlo studyaccuracynonnormalitygrowth curve modelsserial covariance structureuniform covariance structureconditional predictionextended predictioncontaminated data modelmixture of normal models

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Generalized linear models (logistic models) (62J12) Probabilistic models, generic numerical methods in probability and statistics (65C20)

Cites Work

• Prediction of future observations in growth curve models. With discussion and a reply by the author
• Tests and Model Selection for the General Growth Curve Model
• On the characteristic function of multivariate Studentt-distribution
• Prediction and Estimation of Growth Curves With Special Covariance Structures
• Sample reuse procedures for prediction of the unobserved portion of a partially observed vector
• A generalized multivariate analysis of variance model useful especially for growth curve problems

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