Model comparisons revealed that the A D test (ADGWAS model) could perfectly balance false positives and statistical power for HI and associated traits.
In the proposed models, the comparison revealed that it is not necessary to divide and allocate the facilities to each side of the river in addition to considering the real distance while hitting an obstacle.
For the structural equation modelling analysis, key variables and covariates were included in an initial hypothesized model (Fig. 1) and then pathways were dropped in a systematic fashion to create alternate models for comparison, revealing the most parsimonious model (Supplementary material).
Findings from multi-group path model comparison analysis revealed that the roles of PEOU and PU in determining Att and PI of a sustainability labelled apparel product were not different whether or not they were a sustainability label user.
Model fit comparisons revealed that C could be dropped from the multivariate model without significant deterioration of the fit (Table 3).
Though visual comparison indicated that all models performed well, the analytical comparison revealed the true differences between them.
This comparison revealed that the model predictions provide a lower-bound estimate of the actual kinetics, primarily because of the assumption of a constant, steady state nucleation rate.
Results of comparison revealed superiority of SVR model to others.
