Sentence examples for several influencing variables from inspiring English sources
Mostashari et al. [ 8] and Bork et al. [ 9] have also used EMD data based on comparable EMD coding systems but applied aberration detection algorithms based on regression analysis to control for several influencing variables (e.g. seasonality, holidays, temperature) [ 8] or dynamic forecasting models [ 9].
Fourth, the roles of several other influencing variables on parameter correlation are revealed.
Operating conditions and influencing variables (involving several chemical and instrumental variables) were optimized with central composite rotatable design and response surface methodology.
Several variables influence the anticonvulsant potential of GABA-producing cells.
Several variables influence on important features of these PE-S complexes, such as surfactant and polyelectrolyte chemical structure (molecular architectures), charge molar ratio, environmental (pH, temperature, ionic strength) and mixing conditions (since non-equilibrium structures can be obtained), among many others that are discussed in this review.
Multivariate ordination techniques allowed the identification of plant species influencing several response variables of herbivore regulation at the same time.
In the multivariate model, we included several relevant variables influencing breast cancer risk (see Table 2).
Multivariate regression analysis allowed for simultaneous estimation of several explanatory variables influencing a participating member either at the same or different times.
For instance, we have run several variable influence diagnostics including DFFITS and DFBETA to assess how much the estimated values of our dependent variables are influenced by a few observations or data points.
They find that presidential/parliamentary and majoritarian/proportional dichotomies influence several economic variables: presidential regimes induce smaller public sectors, and proportional elections lead to greater and less targeted government spending and larger budget deficits.
An effective statistical technique is the response surface methodology (RSM) which is a useful statistical tool for studying of systems where several independent variables influence the responses [[13]].
