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Building on principles and methodologies underlying the use of experimentation in other fields, we provide descriptive and operational definitions of experimental program analysis, illustrate them by example, and describe several differences between experimental program analysis and experimentation in other fields.
The use of experimentation based on our current knowledge is the way to move forward.
The study makes use of experimentation planned and executed as per Taguchi's robust design methodology.
In the initial phase of the WSN's development many solutions were proposed under conceptual aspects with strong use of experimentation by simulation.
The paper by M. Portoles-Comeras, M. Bafalluy, and R. Esteso highlights common pitfalls of using experimentation with off-the-shelf hardware to obtain network performance measures and provides guidelines on the proper use of experimentation.
Although these applied research methods were initially rooted in the observational techniques of epidemiology, clinical epidemiologists such as Archie Cochrane in the UK, Alvan Feinstein in the US, and David Sackett in Canada, pioneered and legitimized the use of experimentation in clinical settings, leading to the randomized controlled trial becoming the hallmark of testing.
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Exploratory modeling makes use of computational experimentation to test how varying model scenarios drive model outcome.
This leads to a more targeted safety testing on volunteers and to a reduction in the use of animal experimentation.
Examples are also given of the combined use of field experimentation and modelling to dispel and/or clarify historical rules of thumb/folklore.
The model is evaluated with the use of numerical experimentation and its quality is compared with respect to some other fuzzy models already encountered in the literature.
The integrated use of process experimentation and modeling enables fewer experiments to be performed, and thus minimizes the time and materials required in order to gain process understanding, which is of key importance during process development.
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