Robust definition

Robust means” (or an equivalent phrase) is not intended to add to, or subtract from, the robustness requirements applicable to the particular requirement associated with the phrase, and is used merely as a reminder.
Robust means not causing any unintentional harm, but perform in a safe, secure, and reliable manner, both from a technical and social perspective.
Robust means that is does not rely on species specific assumptions such as species geometry (e.g., shape and size) and species composition. This has been clarified in L128-129.

Examples of Robust in a sentence

  • If necessary, an independent 3rd party accessibility firm using POUR standards (Perceivable, Operable, Understandable and Robust) may be used to validate the accessibility of the technology.

  • Robust Licensed Components may be disposed of in any commercially reasonable manner.

  • Notwithstanding the foregoing, Adopter may continue to manufacture and sell an Existing Model in which the implementation of DTCP is a Robust Inactive Product after December 31, 2010 provided that when such Robust Inactive Product is activated through an Update, such Update results in a Licensed Product that, in response to the Analog Sunset Token, limits analog video output of such content to SD Interlace Modes only.

  • Such “same” Licensed Product or Robust Licensed Component may include, for purposes of assessment of fees under this Fee Schedule, units or copies that are substantially identical but are marketed under different names or model designations, and units or copies that have different version numerical designations to the right of the decimal point.

  • Accountability- Robust quality assurance and accountability processes must be established.


More Definitions of Robust

Robust means strong, powerful and able to withstand challenge. For UN peacekeeping operations, robust means “use of all available means”.
Robust here means that qualitative evolution of the system - such as direction of changes and occurrence of events - is not dependent on the choice of parameters, of course, within their plausible range. The CO2 response to the AMOC shutdown is also robust in the model, however, the longer the shutdown, the stronger is an overshoot and the CO2 recovery afterwards. In the CO2 record, it looks like an overshoot and stabilization, like in the Eemian, or as small jump continued by increasing CO2, as in the Holocene (Fig.2 , TI). As the timing of AMOC changes is very sensitive to the freshwater flux, these two types of responses could occur by chance, and therefore are not “robust”.
Robust means in layman's language. What does it mean
Robust means that the AI system performs in a safe, secure and reliable manner, with embedded safeguards to as much as possible prevent any unintended adverse impacts.
Robust in statistics means good performance in statistical tests, including results are generally unaffected by outliers or small changes in model assumptions. For more information, see Betson, David M. (1990). Alternative Estimates of the Cost of Children from the 1980–86 Consumer Expenditure Survey. Report to U.S. Department of Health and Human Services, Office of the Assistant Secretary for Planning and Evaluation. University of Wisconsin Institute for Research on Poverty, Madison, WI. 20 Betson, David M. (2010). “Appendix A: Parental Expenditures on Children.” In Judicial Council of California, Review of Statewide Uniform Child Support Guideline. San Francisco, CA. Retrieved from
Robust means that the investment theme is widespread and does not depend overly on implementation choices. To settle this question, we started by computing the daily excess return of ESG indices versus traditional indices by region10 (U.S. and Europe) using MSCI as the data provider, and by provider11 (Euronext and MSCI) in Europe, between 2013 and 2020. We then calculated the rolling 6-month correlation of excess returns between regions (i.e., U.S. vs. Europe) and providers (i.e., Euronext vs. MSCI). Exhibit 5 shows the results, specifically, very low correlation. This points to a lack of robustness.
Robust means(26) ‘Strong and hardy; sturdy; healthy’. By implication, something that is robust is ‘not easily damaged or broken, resilient’. A statistical test is robust if it yields ‘approximately correct results despite the falsity of certain of the assumptions underlying it’ or despite errors in the data.