A geometric approach of the generalized least-squares estimation in analysis of covariance structures
type: Item
instance of: scholarly article
title: A geometric approach of the generalized least-squares estimation in analysis of covariance structures
zbMATH Open document ID: 0830.62058
DOI: 10.1016/0167-7152(94)00146-Y
published in: Statistics \& Probability Letters
publication date: 1996-01-25T00:00:00Z
Mathematics Subject Classification ID: 62H12
Mathematics Subject Classification ID: 62J10
zbMATH DE Number: 796387
zbMATH Keywords: generalized least-squares estimation
zbMATH Keywords: covariance structure model
zbMATH Keywords: intrinsic curvature
zbMATH Keywords: parameter-effect curvature
zbMATH Keywords: second-order approximations
zbMATH Keywords: bias
zbMATH Keywords: covariance matrix
zbMATH Keywords: information loss
author: Shu-Jia Wang
author: Sik Lee
MaRDI profile type: Publication
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cites work: Curvatures for parameter subsets in nonlinear regression
cites work: Defining the curvature of a statistical problem (with applications to second order efficiency)
cites work: Assessing the accuracy of the maximum likelihood estimator: Observed versus expected Fisher information
cites work: Q3960954
cites work: Structural analysis of covariance and correlation matrices
cites work: Q3996907
cites work: Asymptotic Theory of Overparameterized Structural Models
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description: scientific article; zbMATH DE number 796387