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Data are analyzed through a quasi-experimental design with a Wilcoxon test and sign test.
Moreover, some country contextual implications are analyzed through industry and size dummy variables.
The experimental results are analyzed through RSM to obtain an empirical model for the best response.
Electromechanical modes in power systems are analyzed through many parametric methods.
CAS are analyzed through computer simulation tools using agent based methodologies (ABM) and complex networks (CN).
DM and CM current paths flowing to batteries are analyzed through the modeled equivalent circuits.
Finally, the buckling and contact of drill string are analyzed through finite element simulation study.
Internal characteristics under the variable operating conditions are analyzed through the transient simulation.
The effects of different constraints on the objective functions are analyzed through various graphical representations.
These three techniques are analyzed through numerous parameters: technical, biological, hematological data.
Then, the sensor responses are analyzed through polar diagrams of the impedance variation.
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