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The inverse of the covariance matrix model is then (60).

The inverse matrix model is presented in Eq. (4).

Then the matrix model is developed for computer processing.

For the single-pitch case, the covariance matrix model is (52) (52).

A matrix model is introduced and analysed then a design algorithm is demonstrated.

However, we do not conclude that the elastic matrix model is the best model for all microboudin data.

Wigner's random matrix model was very successful in describing the energy spectra of complex quantum systems.

Finally, the best fitting Q matrix model was selected on a diverse set of fit indices.

For the data sets examined in this study, AIC values for the elastic matrix model are approximately half of those for the Newtonian viscous matrix model (Table 1).

According to the concept of the influence function, the control matrix model was established based on the increment relationship between the control means and the shape standard patterns.

A spatially explicit, population-based density-independent matrix model was used to analyse the effect of landscape composition on the spatial asymptotic distribution of a population.