ScholarLens Back to search
2000•Biometrical JournalRequires access

Spherical Tests in Balanced Multivariate Mixed Models

Ekkehard Glimm

Open publisher page 0 citations

Abstract

This paper deals with the application of spherical tests in balanced multivariate mixed models. A general representation of the univariate mixed model, given by Hocking (1985), is adapted to the multivariate case and it is demonstrated how spherical tests, introduced by Läuter (1996), can be applied to test hypotheses about the covariance structure and the means. The methods are illustrated by an example. A simulation experiment shows the superiority of spherical tests over traditional methods, if the multivariate data arise from a factor structure.

About this research paper

What this paper is about

This paper deals with the application of spherical tests in balanced multivariate mixed models. A general representation of the univariate mixed model, given by Hocking (1985), is adapted to the multivariate case and it is demonstrated how spherical tests, introduced by Läuter (1996), can be applied to test hypotheses about the covariance structure and the means. The methods are illustrated by an example. A simulation experiment shows the superiority of spherical tests over traditional methods, if the multivariate data arise from a factor structure.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

This paper deals with the application of spherical tests in balanced multivariate mixed models. A general representation of the univariate mixed model, given by Hocking (1985), is adapted to the multivariate case and it is demonstrated how spherical tests, introduced by Läuter (1996), can be applied to test hypotheses about the covariance structure and the means. The methods are illustrated by an example. A simulation experiment shows the superiority of spherical tests over traditional methods, if the multivariate data arise from a factor structure.

Key concepts: Multivariate statistics, Statistics, Multivariate analysis, Econometrics, Mixed model, Mathematics

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
Spherical Tests in Balanced Multivariate Mixed Models — Research Paper | ScholarLens