Define experimental variable. experimental variable synonyms, experimental variable pronunciation, experimental variable translation, English dictionary definition of experimental variable. Noun 1. experimental variable - a variable whose values are inde
Formal optimization requires a definition of a performance metric, which is normally a scalar function of adjustable parameters (typically, antenna dimensions), but might also be vector-valued in the case of multi-objective design. In this work, we do not consider multi-objective design84, ...
Mediational hypotheses, by definition, include full (complete) mediation. In other words, the independent variable has zero effect on the dependent variable; the causal relationship depends entirely on the mediator. Baron and Kenny’s Four Steps ...
In the proposed methodology outlined in this study, the search initiates by creating an ensemble set of random parameter vectors evaluated with a low-resolution EM model. Eligible samples, capable of extracting response features, are employed to build the initial surrogate model. This approach operate...
on users’ speed and accuracy in selecting text on a CRT display. In many respects their work is straightforward; the methodology is as expected for an experiment with human participants. However, Card et al. went beyond a typical user study. Here are the first two sentences in the Discussio...
the instrumental variable. Similar to the propensity score methodology, one must also be able to show that patients’ prognosis across the examined groups have been balanced. Regrettably, reporting of how adequate an instrumental variable is in real research practice has shown to be poor[46,47,62...
Missing data is a challenging problem in many prognostic studies. Multiple imputation (MI) accounts for imputation uncertainty that allows for adequate statistical testing. We developed and tested a methodology combining MI with bootstrapping techniques
The PIP is a true probability and so it satisfies 0 <= PIP <= 1 by definition. Covariates with large PIPs are good candidates for being explanatory of the response Y.Being able to compute PIPs is particularly useful for high-dimensional datasets with large P. For example, we might want ...
attaining qualitative and quantitative numerical results in this example represents not only the many rich physical insights that can be gained through the CFD methodology but also a testimonial feat of the rigorous advancements that have been made to the state-of-the-art multiphase flow research. ...
The essential idea rests upon two main pillars: (1) phase space is restricted by the definition of collective variables, that is, one or a combination of more than one geometric or energetic parameters of the system under investigation, that can guide the survey; hence the meta prefix; (2...