Consistent estimators of the variance-covariance matrix of the gmanova model with missing data
type: Item
instance of: scholarly article
title: Consistent estimators of the variance-covariance matrix of the gmanova model with missing data
zbMATH Open document ID: 0791.62061
DOI: 10.1080/03610929308831100
author: Robert D. Mensah
author: R. K. Jun. Elswick
author: Vernon M. Chinchilli
publication date: 1994-07-05T00:00:00Z
Mathematics Subject Classification ID: 62H12
Mathematics Subject Classification ID: 62J10
zbMATH DE Number: 487225
zbMATH Keywords: growth curve
zbMATH Keywords: multivariate general linear models
zbMATH Keywords: partially missing response data
zbMATH Keywords: generalized multivariate analysis of variance
zbMATH Keywords: estimated generalized least squares approach
zbMATH Keywords: variance-covariance matrix
zbMATH Keywords: GMANOVA
zbMATH Keywords: consistent estimators
zbMATH Keywords: Monte Carlo simulation
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1080/03610929308831100
OpenAlex ID: W2043046106
cites work: Seemingly unrelated nonlinear regressions
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cites work: The theory of least squares when the parameters are stochastic and its application to the analysis of growth curves
cites work: On the analysis of incomplete growth curve data, a Monte Carlo study of two nonparametric procedures
cites work: An Efficient Method of Estimating Seemingly Unrelated Regressions and Tests for Aggregation Bias
published in: Communications in Statistics: Theory and Methods
description: scientific article; zbMATH DE number 487225