On M-methods in growth curve analysis with asymmetric errors

DOI10.1016/0378-3758(92)90013-IzbMath0752.62016MaRDI QIDQ1200658

Mervyn J. Silvapullé

Publication date: 16 January 1993

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

zbMATH Keywords

asymptotic normalityrepeated measurescovariance matrixmultivariate linear modeldesign matrixclosed form expressionslope parametersone sided hypothesisjoint asymptotic distribution of scale and coordinatewise \(M\)-estimatorstest of linear hypotheses

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Asymptotic distribution theory in statistics (62E20) Nonparametric robustness (62G35)

Related Items (2)

Asymmetric recursive methods for time series ⋮ Bayesian growth curve models with the generalized error distribution

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• On M-processes and M-estimation
• M-methods in multivariate linear models
• M-methods in growth curve analysis
• Asymptotic behavior of robust estimators of regression and scale parameters with fixed carriers
• On Estimating Variances of Robust Estimators when the Errors are Asymmetric
• Trimmed Least Squares Estimation in the Linear Model
• Robust Wald-Type Tests of One-Sided Hypotheses in the Linear Model
• Robust methods of estimation of regression coefficients¹
• A generalized multivariate analysis of variance model useful especially for growth curve problems
• Robust Statistics

This page was built for publication: On M-methods in growth curve analysis with asymmetric errors