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Such method supposes that global synchronization across all nodes in the wireless network is guaranteed.
The standard least squares (LS) method supposes that random error compensation has a Gaussian distribution; however, random errors in a magnetometer observation equation have a non-Gaussian distribution.
This method supposes that there is an instrument that is correlated with treatment but uncorrelated with unobserved patient severity.
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For homothetic testing the WSD method, suppose that ({mathbf{x}} = k{mathbf{a}}).
For homothetic testing the WSRD method, suppose that ({mathbf{q}} = k{mathbf{e}}_{NM}).
For homothetic testing the GRAS method, suppose that ({mathbf{X}} = k{mathbf{A}} = k{mathbf{P}} - k{mathbf{Q}}).
To describe the proposed method, we supposed that the original image and created watermark image are grayscale images with size and, respectively.
Based on the property of superpixel generated by SLIC method, we suppose that pixels nearing to the center of the superpixel are more likely to be in the same class with the superpixel.
According to the first integral method, we suppose that X = X and Y = Y are nontrivial solutions of Eq. (13) and P X X, Y ) = ∑ i = 0 m a i ( X ) Y i. is an irreducible polynomial in the complex domain C [ X, Y ] such that P ( X , Y = ∑ i = 0 m a i ( X Y i = 0, (14).
Then, using the eigenfunction method, we suppose that the solution (u r, t)) and nonhomogeneous term (f(r)) of problem (1.1 - 1.3) can be represented as follows: begin{aligned}& u r, t)=sum^{infty}_{n=1}u_{n}(t) j_{0} biggl(frac{npi r}{r_{0}} biggr), end{aligned} (2.1) begin{aligned}& f(r)=sum^{infty}_{n=1}f_{n} j_{0} biggl(frac{npi r}{r_{0}} biggr).
Modelling UGF for wind power in different sub-periods with apportioning method [13], supposing that all wind power output curves of wind power pattern r w are shown in Fig. 1, and the number of curves is ( N_{{r_{w} }} ), so each interval has ( N_{{r_{w} }} ) wind power values.
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