A Schur complement approach for computing subcovariance matrices arising in a road safety measure modelling
type: Item
instance of: scholarly article
title: A Schur complement approach for computing subcovariance matrices arising in a road safety measure modelling
zbMATH Open document ID: 1072.65009
author: Assi N'Guessan
author: C. Langrand
published in: Journal of Computational and Applied Mathematics
publication date: 2005-05-04T00:00:00Z
review text: The paper is devoted to the problem of determination of the analytical expression of a real partitioned matrix inverse. The consideration is focused on the analytical expression of the elements of some blocks of the inverse of a particular Fisher information matrix. The Schur complement approach is used to solve the problem. The suggested approach does need any numerical matrix inversion program. Some illustrative examples are given. An application in the case of road safety measure is provided. A description of the mechanism of obtaining the analyzed Fisher information matrix structure is provided in the appendix.
reviewed by: Tzvetan Semerdjiev
Mathematics Subject Classification ID: 65C60
Mathematics Subject Classification ID: 65F05
Mathematics Subject Classification ID: 62J10
zbMATH DE Number: 2164837
zbMATH Keywords: Schur complement
zbMATH Keywords: asymptotic covariance matrix
zbMATH Keywords: road safety measure
zbMATH Keywords: restricted maximum likelihood
zbMATH Keywords: numerical examples
zbMATH Keywords: Fisher information matrix
zbMATH Keywords: numerical matrix inversion
MaRDI profile type: Publication
full work available at URL: j.cam.2004.09.023
OpenAlex ID: W2031648427
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DOI: 10.1016/J.CAM.2004.09.023
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description: scientific article; zbMATH DE number 2164837