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Red and green color space-based color distribution statistical matrices, as well as corresponding overlap indices, are proposed.
Statistical matrices to quantify positioning error of two perfectly circular mating parts subject to size tolerance for both clearance and transition fit conditions are first developed.
Once such information has been obtained, the next step has been to generate peptide-binding predictions using either simple motif searches strategies [8] or complete statistical matrices representing the frequency of each amino acid in each position [9] [13].
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1) Computational complexity: Regarding the computational complexity, we compare the major multiplications involved in statistical matrix construction, EVD or SVD implementation, and MUSIC spectrum search.
Usually, the starting matrix for every t is the statistical matrix A t − 1, which is adjusted by successive bi-proportional corrections in dependence on exogenously given sectoral outputs.
The extracts manufactured by these experimental statistical matrixes had their antioxidant activity and phenolic contents quantified and the response surface plots were fitted in quadratic models and they predicted the best extraction condition for the best antioxidant activity.
We have a finite number of samples which needs to define a sample covariance matrix instead of a statistical covariance matrix, expressing X(n−i) as X i covariance matrix will be mathbf{R}(N =frac{1}{N}textsc{x}_{i}textsc{x}_{i} textsc{x}_{i}^{T}.
Defining the space-time statistical covariance matrices for the signal and noise as.
Statistical error matrices together with nonparametric Kappa index were used for comparison of reference data and classification result (Robertson and King 2011; Dabboor et al. 2014).
This example is simple enough for us to obtain the actual statistical covariance matrices for an evaluation of the bound's tightness.
To take account of the orientation effect of polar ester groups, the statistical weight matrices, U′ and U″, were recast into an expanded form.
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