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Sammanfattning

The objective of this paper is to consider shift invariance of random factors in linear models. Marginally shift invariant interaction factors are treated. The random factors are described via their covariance matrices and it is shown that shift invariance implies Toeplitz covariance matrices and marginally shift invariance implies block Toeplitz covariance matrices. In order to get interpretable linear models reparameterization is taken place and it is shown that by putting restrictions on the spectrum of the Toeplitz matrices natural reparameterization conditions are obtained

Nyckelord

Block Toeplitz matrix; covariance structures; eigenspace; invariance; K-way tables; marginal permutations; reparameterization; shift invariance; spectrum; Toeplitz matrix

Publicerad i

Research report (Centre of Biostochastics)
2005, nummer: 2005:6
Utgivare: Centre of Biostochastics, Swedish University of Agricultural Sciences

SLU författare

UKÄ forskningsämne

Jordbruksvetenskap
Sannolikhetsteori och statistik

Permanent länk till denna sida (URI)

https://res.slu.se/id/publ/6849