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Fault injection is a testing method that can be used for checking the robustness of systems. During the process, testing engineers inject faults into systems and observe the system's resiliency. [4] Test engineers can develop efficient methods which aid fault injection to find critical faults in the system. [5] [6]
Robust statistical methods, of which the trimmed mean is a simple example, seek to outperform classical statistical methods in the presence of outliers, or, more generally, when underlying parametric assumptions are not quite correct.
Although uptake of robust methods has been slow, modern mainstream statistics text books often include discussion of these methods (for example, the books by Seber and Lee, and by Faraway [vague]; for a good general description of how the various robust regression methods developed from one another see Andersen's book [vague]).
Therefore, the choice of method of sensitivity analysis is typically dictated by a number of problem constraints, settings or challenges. Some of the most common are: Computational expense: Sensitivity analysis is almost always performed by running the model a (possibly large) number of times, i.e. a sampling -based approach. [ 8 ]
Robustness can encompass many areas of computer science, such as robust programming, robust machine learning, and Robust Security Network. Formal techniques, such as fuzz testing, are essential to showing robustness since this type of testing involves invalid or unexpected inputs. Alternatively, fault injection can be used to test robustness ...
Taguchi methods (Japanese: タグチメソッド) are statistical methods, sometimes called robust design methods, developed by Genichi Taguchi to improve the quality of manufactured goods, and more recently also applied to engineering, [1] biotechnology, [2] [3] marketing and advertising. [4]
Robustness Validation is used to assess the reliability of electronic components by comparing the specific requirements of the product with the actual "real life values". With the introduction of this methodology, a specific list of requirements (usually based on the OEM) is required. The requirements for the product can be defined in the ...
Much of this research has been associated with the subdiscipline of system identification. [30] In computational optimal control , D. Judin & A. Nemirovskii and Boris Polyak has described methods that are more efficient than the ( Armijo-style ) step-size rules introduced by G. E. P. Box in response-surface methodology .