On properties of Toeplitz-type covariance matrices in models with nested random effects

Liang, Yuli
Rosen, Dietrich von
Rosen, Tatjana von

Open link

Publication date

January 2021

DOI

10.1007/s00362-020-01202-3

Publisher

Springer Science and Business Media LLC

Abstract

Models that capture symmetries present in the data have been widely used in different applications, with early examples from psychometric and medical research. The aim of this article is to study a random effects model focusing on the covariance structure that is block circular symmetric. Useful results are obtained for the spectra of these structured matrices.Funding Agency:Örebro University</p

Extracted data

We use cookies to provide a better user experience.

Data Protection

On properties of Toeplitz-type covariance matrices in models with nested random effects

Abstract

Extracted data

On properties of Toeplitz-type covariance matrices in models with nested random effects

Abstract

Extracted data

Topics

Related items

Related items

Topics