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The validity of the conventional Kronecker correlation channel model is tested, along with a recently proposed joint correlation model.

Principal component analysis was used to identify joint correlation patterns in finger movements evoked by transcranial magnetic stimulation over the primary motor cortex while subjects were at rest.

The joint correlation properties of a set of p + 1 1D projections determines the correlation properties of the 2D array that is reconstructed from those projections.

After these measurements and also perhaps the camera positions are transmitted to a central node, the key to an accurate reconstruction is to fully exploit the joint correlation among the signal ensemble.

The joint correlation function matrix R ^ js i, w can be approximated as the amplitude (i.e., the absolute value) of the estimated covariance matrix C ^ js i, w [14], i.e., R ^ js i, w = C ^ js i, w − σ ^ n 2 I (22).

Traditional MIS techniques involving a lateral-based insertion point away from the adjacent facet joint, correlation with acceptable AP/lateral imaging, and confirmatory neuromonitoring stimulation of pedicle taps are employed.

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Joint correlations between chain size and shape show they are mutually dependent.

The case based method checks different conditions of the nodes for calculation of conditional joint correlations, while the mathematical based method uses a heuristic expression.

As an extension to DOE, Orthogonal 2 Partial Least Squares (O2PLS) provided insight into joint correlations between the machine and transverse direction mechanical properties.

The second enhancement consists of two methods called case based and mathematical based and concentrates on accurate calculation of conditional joint correlations which makes the algorithm much more dependable than the basic single-pass method.

The results of the likelihood ratio test in the model (LR χ 2 6) = 33.52, χ 2 > p = 0.0000) indicates the null that the independence between market outlet choice decision (ρ 21 = ρ31 = ρ 41 = ρ 32 = ρ 42 = ρ 43 = 0) is rejected at 1% significance level and there are significant joint correlations for two estimated coefficients across the equations in the models.

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