Sentence examples for matrix estimation method from inspiring English sources

It is inappropriate to consider a covariance matrix estimation method simply using (2).

Estimation of SEM: The estimation procedure should be reported, including the input matrix, estimation method, software brand and version, and method for fixing the scale of latent variables.

In addition, the discrimination method for the target and the interference is studied in this paper, along with the target scattering matrix estimation method.

An added mass matrix estimation method for beams partially immersed in water is proposed that employs dynamic responses, which are measured when the structure is in water and in air.

In other words, we neglect the effect on the matrix estimation performance of the few points where sources may overlap, inasmuch as the impact of such time frequency points is further reduced by the averaging effect inherent to any mixing matrix estimation method.

The resulting average threshold values (that were then adopted in our analysis), obtained for the analysed dataset (HH polarized data, β = 30°, r CUT = 1400 m) and for each covariance matrix estimation method, are shown in Table 4.2 Table 4 Average threshold values for PFA = 10−2, evaluated on NetRAD data   SCM NSCM FPE Bi 0.79 0.84 0.83 Mono 0.81 0.85 0.83 Mono and Bi 1.35 1.35 1.35.

To solve the singular problem of small sample inverse covariance matrix estimation, a method of adding band mean value to covariance matrix is provided.

In Section "The singular problem of small sample inverse covariance matrix estimation", a method to solve the singular problem is provided, and the experiment result is shown in Figure 13. Figure 12 Analysis of correlation matrix estimation.

JR: performed statistical analysis of low-pass sequencing, developed the protein matrix phylogeny estimation method, and drafted the manuscript.

In the present work, the estimation of x and y was performed using a robust, rank-one matrix approximation method, named quantile-based matrix approximation (QMA) [ 31].

To further check the robustness of the models, we used multiple spatial weights matrices and estimation methods in processing the spatial regression data.