The idea is to establish a system of non-linear algebraic equations on the parameters, based on the calculation of the Taylor series coefficients, and to check whether the system has a unique solution.
which is a special case of the signal model in (11) with P=1 and coefficients (check {h}^{mathit {RF}}_{i,1,mathbf {s}^{k}}(m)) consisting of (h_{ij}^{mathit {RF}}(l)) with proper s k.
Since for each information node there is a root-check node for all other fading coefficients, the root-checks appear as identity matrices in the parity-check matrix of the root-LDPC codes.
From the estimated coefficients, we can check the relevancy of origin, religious affiliation and their interactions directly.
The coefficients (check {h}^{mathit {RF}}_{i,p,mathbf {s}^{k}}(m)) of the signal model now consist of ( h^{mathit {RF}}_{ij,p}(l)) with the parameters p and s k that correspond to the basis functions (x_{j} n-l)^{frac {p+1} n-l x^{fracn-l)^{p+1}{{p-1}{2}}), and other coefficients are set to zero.
If so, simply follow the steps outlined in Figure 8. Solving nth order linear differential equations with constant coefficients: Check to see if the differential equation satisfies the form shown in equation (1) in Figure 9.
If so, simply follow the steps outlined in Figure 5. Solving second order linear differential equations with constant coefficients: Check to see if the differential equation satisfies the form shown in equation (1) in Figure 6.
We have used the Spearman's correlation coefficient to check the null hypothesis that the number of raIS elements in a genome is independent of the genome size.
In the MLR model also, the variable selection was performed with a forward, a backward, and a stepwise algorithm for simple linear regression in SPSS 12.0 and regression coefficients were checked for significance.
We first calculated the intraclass correlation coefficient to check for the effects of clustering.
