Sentence examples for part coefficient from inspiring English sources

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A new time series y i is defined based on the information of the observations x 1,…x N and the AR part coefficient estimation ς ^ 1, … ς ^ n. y i κ = x i κ − ς ^ 1 x i κ − 1 − ⋯ − ς ^ n x i κ − n (24).

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The systems under consideration are strongly coupled in the second order terms and other lower order terms, without restrictions on the size of ratios of the different principal part coefficients, or on the number of equations and space variables.

To deal with such bias estimation, each construct's AVE (average variance extracted) should greater than the squared correlation among the constructs, part coefficients should come from bootstrapping, and report of t-value, p-value, and indicating weight should be in place (Hair, Sarstendt, Ringle, & Mena, 2012).

where (tilde {boldsymbol {b}}_{[l]}^{q}) is a 2×1 vector which is consisted by the real-part coefficient (b_{[l],q}^{r}) and imagery-part coefficient (b_{[l],q}^{i}) of the qth element of (tilde {boldsymbol {b}}_{[l]}).

To locate and rectify the edge parts, coefficient of variation (CV) based threshold and orientation based statistics methods are designed.

stationary part 521 690-1 coefficient, nonstationary part 691 1100-230 coefficients, stationary part 1101 1200-1 coefficient.

stationary part 1 360-1 coefficient, nonstationary part 361 450-60 Hermite coefficients, that is, stationary part 451 900-1 coefficient, nonstationary part 901 1200-200 Hermite coefficients, that is,.

stationary part 361 460-1 coefficient, nonstationary part 461 520-42 coefficients.

For instance, the partly nonstationary sequence presented by the S-method in Figure 6(b) can be reconstructed as follows: (i) stationary part 1 360-1 coefficient,   (ii) nonstationary part 361 450-60 Hermite coefficients, that is,   (iii) stationary part 451 900-1 coefficient,   (iv) nonstationary part 901 1200-200 Hermite coefficients, that is,.  .

Hence, each claim cost comprises a fixed cost (theta_{0}) and a proportional part with coefficient (theta_{1}).

For the non-inferiority part, a coefficient of variation of 80% was assumed for disease burden, resulting in a sample size of 2x210 = 420 patients to reach a power of 90% for the case of zero group difference.

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