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The aim with the present paper is to illustrate the use of multivariate strategies (i.e. integration of different multivariate methods) with five examples, four from the pharmaceutical industry and one from environmental research.
Evidence review: Overall 49 studies were recognized for all assessment methods with five major decisive factors of causality evaluation, all the information regarding reasons allocating causality, the advantages and limitations of the appraisal methods were extracted and scrutinized.
Independent repeatability studies were performed of the proposed methods with five replicates for each method (Table?4).
The numerical results for Example 5.1 and 5.2 obtained by MG and EXFMG methods with five embedded grids are listed in Tables 1 and 2. When fixing (32 times 32) as the coarsest grid (Omega _{1}), Tables 3 8 list the numerical results of EXFMG method with the stopping criteria epsilon_{j}=10^{j-L-10}, quad j=2,3,ldots,L, (15) on each grid (Omega_{j}), (j=2,3,ldots,L).
In fact, the distinct window methods with five or 10 SNPs per window identified the fewest false positives of all methods investigated.
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We compare our applied methods with two baseline methods.
We employed Welchs methods with two non-overlapping 75 s windows to compute the Fourier transform of the ECG equidistant sampled signals.
We focus on the design of fourth-order methods with three external stages.
In this paper we analyze the general results on convergence of line search methods with seven line search rules.
The performance of all methods, with four to ten reference nodes, was examined.
Figure 8 The simulation results of three methods with two scatterers.
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