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"robust detection" vs "robust estimation"

Both phrases are correct, but they are used in different contexts. 'Robust detection' refers to the ability to accurately identify or recognize something under varying conditions, while 'robust estimation' refers to the ability to make accurate predictions or calculations despite uncertainties or errors in the data.

Last updated: March 23, 2024 • 755 views

"robust detection"

This phrase is correct and commonly used in the context of accurately identifying or recognizing something under varying conditions.

This phrase is used in fields such as computer vision, signal processing, and machine learning to describe the ability of a system to detect objects or patterns reliably even in challenging environments.

Examples:

  • The new algorithm shows robust detection of faces in low-light conditions.
  • The radar system demonstrated robust detection of aircraft in adverse weather conditions.
  • I'm calling it "robust mouse rejuvenation," not very imaginatively.
  • Patients are key to "signal detection" of ADRs.
  • I'm going to call that "robust human rejuvenation." OK.
  • As regard the last point the Commission proposal concerning "data on fishing activities and means of remote detection" is currently being studied by the European Parliament (Rapporteur: Casaca).
  • There can therefore be no doubt that systems for tracking drug use, reporting on ADRs and looking for patterns ("signal detection") are a priority for European public health policy.
  • "Detection" means the ability to distinguish an object from its background/surroundings at certain distance.
  • I am to be described as "robust" and "healthy".
  • - "limit of detection" means the minimum value of the parameter examined which it is possible to detect,
  • Standardised antisera for foot-and-mouth disease virus types O1-Manisa, A22-Iraq and C-Noville have been defined by the "FAO Phase XV Standardisation Exercise in foot-and-mouth disease antibody detection" in 1998.
  • For diver detection "software" or "source code", specially designed or modified for military use, see the Military Goods Controls.
  • Our MRS Sensors reliably provide speed detection of gear wheels from Module 4 down to Module 1 and are available in M12 x 1 and M18 x 1 body sizes in robust stainless steel or plastic (PA) housings.

Alternatives:

  • reliable detection
  • accurate detection
  • consistent detection
  • strong detection
  • effective detection

"robust estimation"

This phrase is correct and commonly used in the context of making accurate predictions or calculations despite uncertainties or errors in the data.

This phrase is often used in statistics, econometrics, and engineering to describe the ability of a model or method to provide reliable estimates even when the data is noisy or contains outliers.

Examples:

  • The robust estimation technique helped improve the accuracy of the forecast.
  • The algorithm uses robust estimation to handle outliers in the data.
  • Nevertheless, 4 graduations are considered normal for consumer products, since they make for a sufficiently robust estimation of severity; 5 levels would be too sophisticated since neither the severity of the injury nor the probability can be determined with very high precision.
  • Regions of the dose-response curve where particularly robust estimation is needed, e.g. in the range of the anticipated BMD or a suspected threshold;
  • I'm calling it "robust mouse rejuvenation," not very imaginatively.
  • I'm going to call that "robust human rejuvenation." OK.
  • I am to be described as "robust" and "healthy".
  • Credit institutions shall have robust systems in place to validate the accuracy and consistency of rating systems, processes, and the estimation of all relevant risk parameters.
  • Credit institutions shall have robust systems in place to validate the accuracy and consistency of rating systems, processes, and the estimation of all relevant risk parameters.
  • If the variance is high, on the other hand, practical experience suggests that the mean values of the replicates may provide a more robust mathematical estimation, less influenced by systematic errors in the data, than with each individual data point retained.
  • institutions shall have robust systems in place to validate the accuracy and consistency of rating systems, processes, and the estimation of all relevant risk parameters.
  • Member States are encouraged to use these estimates to identify key categories and develop country-specific Tier 2 and Tier 3 key methodologies for the robust and accurate estimation of emissions and removals.

Alternatives:

  • resilient estimation
  • reliable estimation
  • accurate estimation
  • stable estimation
  • strong estimation

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